Ship Mechanic Jobs

<p><b><br></b></p><p><b>## Purpose of the Role</b></p><p>This role keeps the company running day to day. It covers the office itself, but the larger part of the job is making sure the different parts of the business move together: warehouse, fleet, sales support, administration and the outside providers the company depends on. The person in this seat is the one management turns to when something needs to be organised, chased, fixed or coordinated across departments, and the one department heads coordinate through when a request touches more than one team.</p><p>It suits someone who is organised, hands on, and comfortable being responsible for outcomes that depend on other people delivering.</p><p>---</p><p>## Key Responsibilities</p><p>### Office and Administration</p><ul><li>Run the daily operation of the office and make sure it is properly staffed, supplied and functioning.</li><li>Supervise administrative staff, receptionists, drivers, messengers and cleaning staff, including scheduling, attendance and daily task assignment.</li><li>Manage office supplies, equipment, furniture and stationery, from requisition through purchase, receipt and distribution.</li><li>Maintain company files, records and archives, both physical and digital, with a structure people can actually find things in.</li><li>Organise meetings, visits and travel arrangements for management and visiting principals, including hotels, transport and itineraries.</li><li>Handle incoming correspondence, courier, calls and visitor flow.</li></ul><p>### Day to Day Coordination Across Departments</p><ul><li>Act as the coordination point between Sales, Warehouse, Procurement, Finance and Administration so that requests do not sit unanswered.</li><li>Follow up daily on open items across the business and escalate anything that is stuck to the General Manager with a proposed solution, not just a problem.</li><li>Prepare and circulate daily and weekly status reports on the areas under this role.</li><li>Support management in preparing information for meetings, reviews and decisions.</li><li>Take on assignments and projects delegated by the General Manager and carry them to completion.</li></ul><p>### Warehouse, Delivery and Fleet Support</p><ul><li>Coordinate with the warehouse on receiving schedules, delivery planning and dispatch, so that shipments and orders move on time.</li><li>Monitor delivery performance, route coverage and customer delivery complaints, and follow up until each case is closed.</li><li>Manage the company vehicle fleet: registration, insurance, mechanic, licences, fuel, maintenance schedules, repairs and vehicle records.</li><li>Track driver assignments, licences and vehicle handovers.</li><li>Coordinate with third party transporters and service providers where used.</li></ul><p>### Facilities, Utilities and Assets</p><ul><li>Manage premises: office, warehouse and any branch location. Maintenance, cleaning, security, generator, electricity, water, internet and telephone.</li><li>Handle contracts and relationships with landlords, maintenance contractors, security companies, insurance providers, telecom and utility providers.</li><li>Maintain the company asset register and follow the condition, location and custody of each asset.</li><li>Oversee health, safety and general workplace conditions, including firefighting equipment, emergency exits and first aid supplies.</li></ul><p>### Purchasing of Non Trade Items and Cost Control</p><ul><li>Handle purchasing of general services and non trade items: office needs, maintenance, printing, promotional and marketing material, and similar.</li><li>Collect quotations, compare, and recommend the supplier before committing.</li><li>Monitor spending against budget for office, facilities, fleet and general administration, and report variances.</li><li>Review supplier invoices for accuracy before submitting them to Finance for payment.</li><li>Identify and act on savings without letting service quality drop.</li></ul><p>### Process, Policy and Systems</p><ul><li>Document and improve internal administrative procedures, forms and workflows so the same task is done the same way each time.</li><li>Enforce company policies and the approval matrix across the areas under this role.</li><li>Make sure transactions and records go through the company system properly rather than staying on someone's desk.</li><li>Support internal and external audit requests related to administration, assets and general expenses.</li></ul><p>### People and Government Related Support</p><ul><li>Support HR with attendance records, leave tracking, staff files, onboarding logistics and new joiner setup.</li><li>Follow up on official and government related paperwork with the relevant authorities and the company's'</li></ul><p><strong>Desired Candidate Profile</strong></p><p><br></p>

<p><h4>Job description</h4> <p>As a global marketing experience company, Quad’s goal is to help our clients win every day. We use our data-driven integrated marketing and manufacturing platform to streamline solutions for our clients, reduce friction and enhance their marketing spend effectiveness. We’ve built a rich legacy by believing in our people, allowing them to act like owners and to take charge of their own success. Whether an operator, sales rep, a graphic artist or a clinician, we’re all driven to perform at our best—for ourselves and our clients. At our core, we’re a company that believes we can always create a better way.</p> <br> <h4>Industrial maintenance mechanic</h4> <p>Hartford, WI | $32–$42/hour | Shift positions available<br> Relocation assistance available for qualified candidates (100+ miles away)</p> <p>Are you a seasoned tradesperson with a sharp eye for diagnosing mechanical issues and keeping complex equipment running at peak performance? Quad is looking for experienced maintenance mechanics to join our Hartford, WI facility, where your skills in troubleshooting industrial print equipment will be highly valued and rewarded.</p> <p>We’re a global marketing experience company and one of the largest magazine and direct-mail printers in the U.S. With over 10,000 employees in 11 countries, we’re built on innovation, efficiency, and respect for the people who make it all happen.</p> <br> <h4>Why skilled tradespeople choose Quad</h4> <ul> <li>Competitive pay based on your experience and technical expertise</li> <li>Comprehensive benefits including medical, dental, vision, and more</li> <li>Compressed work week = more time for life outside of work</li> <li>On-site fitness center to stay sharp and strong</li> <li>Relocation assistance for qualified candidates ready to make a move</li> <li>Respect for your craft—we know the value of skilled trades and invest in your success</li> </ul> <br> <h4>What you’ll tackle</h4> <ul> <li>Troubleshooting and repairing industrial print equipment to minimize downtime</li> <li>Performing preventative maintenance and system upgrades</li> <li>Installing and servicing mechanical components like gearboxes, bearings, compressors, and drive systems</li> <li>Collaborating with production teams to ensure smooth operations and high-quality output</li> </ul> <br> <h4>What you bring to the table</h4> <ul> <li>Proven mechanical maintenance experience in a manufacturing environment</li> <li>Expertise in diagnosing and resolving issues with print machinery</li> <li>Training in welding, hydraulics, blueprint reading, and machine trades math</li> <li>Ability to work a 12-hour rotating schedule (days/nights/weekends/holidays)</li> <li>Self-motivation, clear communication, and a commitment to safety</li> <li>Physical ability to lift up to 50 lbs and work on your feet for extended periods</li> </ul> <br> <h4>Are you ready to put your skills to work?</h4> <p>If you’re a hands-on problem solver with a passion for precision and a talent for troubleshooting print equipment, Quad is ready to welcome you. Apply today and join a team that respects your trade, rewards your expertise, and helps you build a career you’re proud of.</p> <br> <h4>Additional information</h4> <p>The actual rate of pay offered will vary based upon, but not limited to: education, skills, experience, proficiency, performance, shift, and location. In addition to base salary, the total compensation package may include overtime and shift differentials, depending on the role. Quad offers benefits including medical, dental, and vision coverage, paid time off, insurance, annual discretionary match to 401(k) based on company performance, life insurance, and other voluntary supplemental insurance coverages, plus childbirth short-term insurance, paid parental leave, adoption and surrogacy benefits, pet insurance, and more.</p> <p>If you're ready to take the next step in your career with Quad, apply today and become part of a team that values growth, innovation, and your potential to excel.</p> <br> <p>We offer comprehensive benefits for eligible employees including medical, prescription, dental and vision insurance, 401(k) retirement savings, paid time off, holidays and additional benefits.</p> <br> <h4>Equal opportunity employer</h4> <p>Quad is proud to be an equal opportunity employer. We are committed to creating a place of belonging—a space where employees do not need to sacrifice who they are to exist and grow in our workplace. Quad does not discriminate on any unlawful basis including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, veteran status, genetic information, or any other basis prohibited by applicable federal, state, or local laws. Quad also prohibits harassment of applicants and employees based on any of these protected categories.</p> <br> <h4>Drug-free workplace</h4></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p> <p> </p> <p>About the Role:</p> <p>As a <strong>Forward Deployed Engineer (AI)</strong>, you embed directly with our businesses to design and ship AI-powered solutions against real, often messy, problems. You'll move between companies and domains building a retrieval pipeline for one business one month, standing up an agent workflow for another the next. You own problems end to end: understand the domain, scope the solution, build it, and get it into production.</p> <p>This is fundamentally a builder's role. We care far more about whether you can turn a problem into working software with modern AI tooling than about the title you held before. That means we're open to two kinds of people: experienced <strong>software developers</strong>, and <strong>senior product managers (or others from a product background)</strong> who have the technical know-how to actually build things themselves. If you can ship, and you're fluent with AI tooling, the lane you came from matters less than what you can do with it.</p> Why This Role Is Different <ul> <li> <strong>Hard problems, real impact.</strong> The projects are demanding and technically ambitious you'll work at the frontier of what current AI tooling makes possible, on systems people actually depend on.</li> <li> <strong>Breadth no single company can offer.</strong> Across finance, logistics, education, government, and automotive, you'll see a far wider range of problems, data, and constraints than you would inside one product and get sharp at recognizing patterns across all of them.</li> <li> <strong>Latest tools, encouraged.</strong> We expect you to use the best available AI development tools and to push them hard. Experimentation is part of the job, not a side project.</li> <li> <strong>Genuinely generous with tooling.</strong> This is one of the real perks of the role. Our leadership structure lets us purchase tools quickly, and we're open about which AI toolsets you use if a tool will make you faster or better, we'll get it for you without a drawn-out approval process.</li> <li> <strong>Autonomy.</strong> You're trusted to go deep into a business, figure out what's worth building, and ship it.</li> </ul> <p> </p> What You'll Do <ul> <li>Embed with portfolio businesses to identify, scope, and build AI-powered solutions to high-value problems.</li> <li>Design and build <strong>RAG (retrieval-augmented generation) pipelines</strong> and <strong>agentic systems</strong> that integrate with each business's data and workflows.</li> <li>Integrate large language models via APIs (<strong>Anthropic Claude, OpenAI / GPT</strong>, and others) into production applications.</li> <li>Use AI-native development tools (<strong>Cursor, Claude, Windsurf</strong>) and automation platforms (<strong>n8n</strong> and similar) to build and ship quickly.</li> <li>Take projects from problem framing through to deployed, maintainable software.</li> <li>Move fluidly between business domains, ramping up fast on unfamiliar industries and codebases.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>The non-negotiable is that you can build. Beyond that, we recognize two paths into this role:</p> <ul> <li> <strong>Senior software developers</strong> you've built and shipped real systems and can operate independently. <em>(In rare cases we'll consider a less experienced developer who is exceptionally strong with AI tooling, but senior experience is the norm.)</em> </li> <li> <strong>Senior product managers / product backgrounds</strong> you've worked in a product or product-management role <em>and</em> have the genuine technical know-how to build things yourself, not just spec them. If you can take a problem and ship a working AI-powered solution, your product instincts are a real asset here.</li> </ul> <p>Whichever path you come from, we also expect:</p> <ul> <li>Hands-on experience with AI-native tools such as <strong>Cursor, Claude, and Windsurf</strong>, and a genuine interest in AI more broadly.</li> <li>Comfort integrating <strong>AI APIs</strong> (Anthropic, OpenAI, and others) into real applications.</li> <li>The ability to own ambiguous problems end to end and ship.</li> <li>Adaptability you enjoy jumping into new domains and getting productive quickly.</li> </ul> Nice to Have <ul> <li>Experience <strong>building RAG pipelines</strong> in production.</li> <li>Experience <strong>building agents</strong> / agentic workflows.</li> <li>Familiarity with <strong>n8n</strong> or similar automation / orchestration platforms.</li> <li>Exposure to any of our verticals: finance, logistics, education, government, or automotive.</li> </ul> Tools &amp; Technologies You'll Work With <p>Anthropic Claude OpenAI / GPT Cursor Windsurf RAG pipelines AI agents n8n LLM APIs</p> <p> </p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Forward Deployed Engineer, (AI) to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the Role: As a Forward Deployed Engineer (AI) , you embed directly with our businesses to design and ship AI-powered solutions against real, often messy, problems.<br> You'll move between companies and domains — building a retrieval pipeline for one business one month, standing up an agent workflow for another the next.<br> You own problems end to end: understand the domain, scope the solution, build it, and get it into production.<br> This is fundamentally a builder's role.<br> We care far more about whether you can turn a problem into working software with modern AI tooling than about the title you held before.<br> That means we're open to two kinds of people: experienced software developers , and senior product managers (or others from a product background) who have the technical know-how to actually build things themselves.<br> If you can ship, and you're fluent with AI tooling, the lane you came from matters less than what you can do with it.<br> Why This Role Is Different Hard problems, real impact.<br> The projects are demanding and technically ambitious — you'll work at the frontier of what current AI tooling makes possible, on systems people actually depend on.<br> Breadth no single company can offer.<br> Across finance, logistics, education, government, and automotive, you'll see a far wider range of problems, data, and constraints than you would inside one product — and get sharp at recognizing patterns across all of them.<br> Latest tools, encouraged.<br> We expect you to use the best available AI development tools and to push them hard.<br> Experimentation is part of the job, not a side project.<br> Genuinely generous with tooling.<br> This is one of the real perks of the role.<br> Our leadership structure lets us purchase tools quickly, and we're open about which AI toolsets you use — if a tool will make you faster or better, we'll get it for you without a drawn-out approval process.<br> Autonomy. You're trusted to go deep into a business, figure out what's worth building, and ship it.<br> What You'll Do Embed with portfolio businesses to identify, scope, and build AI-powered solutions to high-value problems.<br> Design and build RAG (retrieval-augmented generation) pipelines and agentic systems that integrate with each business's data and workflows.<br> Integrate large language models via APIs ( Anthropic Claude, OpenAI / GPT , and others) into production applications.<br> Use AI-native development tools ( Cursor, Claude, Windsurf ) and automation platforms ( n8n and similar) to build and ship quickly.<br> Take projects from problem framing through to deployed, maintainable software.<br> Move fluidly between business domains, ramping up fast on unfamiliar industries and codebases.<br> The non-negotiable is that you can build.<br> Beyond that, we recognize two paths into this role: Senior software developers — you've built and shipped real systems and can operate independently.<br> (In rare cases we'll consider a less experienced developer who is exceptionally strong with AI tooling, but senior experience is the norm.<br>) Senior product managers / product backgrounds — you've worked in a product or product-management role and have the genuine technical know-how to build things yourself, not just spec them.<br> If you can take a problem and ship a working AI-powered solution, your product instincts are a real asset here.<br> Whichever path you come from, we also expect: Hands-on experience with AI-native tools such as Cursor, Claude, and Windsurf , and a genuine interest in AI more broadly.<br> Comfort integrating AI APIs (Anthropic, OpenAI, and others) into real applications.<br> The ability to own ambiguous problems end to end and ship.<br> Adaptability — you enjoy jumping into new domains and getting productive quickly.<br> Nice to Have Experience building RAG pipelines in production.<br> Experience building agents / agentic workflows.<br> Familiarity with n8n or similar automation / orchestration platforms.<br> Exposure to any of our verticals: finance, logistics, education, government, or automotive.<br> Tools &amp; Technologies You'll Work With Anthropic Claude · OpenAI / GPT · Cursor · Windsurf · RAG pipelines · AI agents · n8n · LLM APIs</span> </div>

<p><h4>Description</h4> <p>Aspire Software is looking for a Forward Deployed Engineer, (AI) to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the role:</h4> <p>As a Forward Deployed Engineer (AI), you embed directly with our businesses to design and ship AI-powered solutions against real, often messy, problems. You'll move between companies and domains — building a retrieval pipeline for one business one month, standing up an agent workflow for another the next. You own problems end to end: understand the domain, scope the solution, build it, and get it into production.</p> <p>This is fundamentally a builder's role. We care far more about whether you can turn a problem into working software with modern AI tooling than about the title you held before. That means we're open to two kinds of people: experienced software developers, and senior product managers (or others from a product background) who have the technical know-how to actually build things themselves. If you can ship, and you're fluent with AI tooling, the lane you came from matters less than what you can do with it.</p> <h4>Why this role is different</h4> <p><strong>Hard problems, real impact.</strong> The projects are demanding and technically ambitious — you'll work at the frontier of what current AI tooling makes possible, on systems people actually depend on.</p> <p><strong>Breadth no single company can offer.</strong> Across finance, logistics, education, government, and automotive, you'll see a far wider range of problems, data, and constraints than you would inside one product — and get sharp at recognizing patterns across all of them.</p> <p><strong>Latest tools, encouraged.</strong> We expect you to use the best available AI development tools and to push them hard. Experimentation is part of the job, not a side project.</p> <p><strong>Genuinely generous with tooling.</strong> This is one of the real perks of the role. Our leadership structure lets us purchase tools quickly, and we're open about which AI toolsets you use — if a tool will make you faster or better, we'll get it for you without a drawn-out approval process.</p> <p><strong>Autonomy.</strong> You're trusted to go deep into a business, figure out what's worth building, and ship it.</p> <h4>What you'll do</h4> <ul> <li>Embed with portfolio businesses to identify, scope, and build AI-powered solutions to high-value problems.</li> <li>Design and build RAG (retrieval-augmented generation) pipelines and agentic systems that integrate with each business's data and workflows.</li> <li>Integrate large language models via APIs (Anthropic Claude, OpenAI / GPT, and others) into production applications.</li> <li>Use AI-native development tools (Cursor, Claude, Windsurf) and automation platforms (n8n and similar) to build and ship quickly.</li> <li>Take projects from problem framing through to deployed, maintainable software.</li> <li>Move fluidly between business domains, ramping up fast on unfamiliar industries and codebases.</li> </ul> <h4>Requirements</h4> <p>The non-negotiable is that you can build. Beyond that, we recognize two paths into this role:</p> <ul> <li><strong>Senior software developers</strong> — you've built and shipped real systems and can operate independently. (In rare cases we'll consider a less experienced developer who is exceptionally strong with AI tooling, but senior experience is the norm.)</li> <li><strong>Senior product managers / product backgrounds</strong> — you've worked in a product or product-management role and have the genuine technical know-how to build things yourself, not just spec them. If you can take a problem and ship a working AI-powered solution, your product instincts are a real asset here.</li> </ul> <p>Whichever path you come from, we also expect:</p> <ul> <li>Hands-on experience with AI-native tools such as Cursor, Claude, and Windsurf, and a genuine interest in AI more broadly.</li> <li>Comfort integrating AI APIs (Anthropic, OpenAI, and others) into real applications.</li> <li>The ability to own ambiguous problems end to end and ship.</li> <li>Adaptability — you enjoy jumping into new domains and getting productive quickly.</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience building RAG pipelines in production.</li> <li>Experience building agents / agentic workflows.</li> <li>Familiarity with n8n or similar automation / orchestration platforms.</li> <li>Exposure to any of our verticals: finance, logistics, education, government, or automotive.</li> </ul> <h4>Tools & technologies you'll work with</h4> <p>Anthropic Claude · OpenAI / GPT · Cursor · Windsurf · RAG pipelines · AI agents · n8n · LLM APIs</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Aspire Software is looking for a AI Engineer to join our team in Lebanon.</p> <p> <strong>Here is a little window into our company:</strong> Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <p> </p> <p>About the job: </p> <p>Your first project</p> <ul> <li>Design and build a delivery tracking module for our ERP covering shipment status ingestion</li> <li>from carriers, internal dispatch workflows, customer-facing tracking views, and notifications.</li> <li>You'll own it end-to-end: data model, backend services, API integrations, and the UI layer that</li> <li>plugs into our existing ERP.</li> </ul> <p> </p> <p>Ongoing scope</p> <ul> <li>Build production features in JAVA and REACT integrate with our ERP backend</li> <li>Use Claude Code and MCP-based workflows to accelerate development across our codebase</li> <li>Design AI-assisted capabilities where they add value (ETA prediction, exception detection, smart</li> <li>routing, natural-language search over orders/shipments)</li> <li>Work with Terraform, GitLab CI/CD, and AWS (Lambda, S3, API Gateway, OpenSearch etc.)</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul> <li>4+ years shipping production software</li> <li>Comfort designing data models, REST APIs, and event-driven systems</li> <li>Hands-on experience with LLM APIs (Anthropic) and AI-assisted coding tools</li> <li>Solid AWS fundamentals</li> <li>Pragmatic, product-minded can scope a module, ship v1, and iterate</li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a AI Engineer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: Your first project Design and build a delivery tracking module for our ERP — covering shipment status ingestion from carriers, internal dispatch workflows, customer-facing tracking views, and notifications.<br> You'll own it end-to-end: data model, backend services, API integrations, and the UI layer that plugs into our existing ERP.<br> Ongoing scope Build production features in JAVA and REACT integrate with our ERP backend Use Claude Code and MCP-based workflows to accelerate development across our codebase Design AI-assisted capabilities where they add value (ETA prediction, exception detection, smart routing, natural-language search over orders/shipments) Work with Terraform, GitLab CI/CD, and AWS (Lambda, S3, API Gateway, OpenSearch etc.<br>) 4+ years shipping production software Comfort designing data models, REST APIs, and event-driven systems Hands-on experience with LLM APIs (Anthropic) and AI-assisted coding tools Solid AWS fundamentals Pragmatic, product-minded — can scope a module, ship v1, and iterate</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Are you looking for an exciting opportunity working for a Global Technology Leader? At Aviat Networks, we take great pride in hiring a workforce that is committed to supporting and strengthening our values and attributes. If you are a results-oriented, customer centric and innovative thinker who also takes pride in personal and professional integrity, Aviat Networks is the ideal next step in your career. We are looking for people who love to solve problems, enjoy change, and know how to have fun so come and join a dynamic team that strives to bring communications to the world. Aviat Networks is the world s largest independent supplier of wireless transmission systems. We are recognized worldwide for cutting-edge 5G, backhaul, networking solutions and services. Customers in more than 135 countries depend on Aviat Networks to build, expand, and upgrade their voice, data, and video solutions.</p><p>About the Role : The Senior Logistics Coordinator must have a full/clear understanding of trade terms with experience in cross-shipping methods. Familiarity with end-to-end logistics processes showing a strong grasp of the customs clearance process and requirements with hands-on experience. Will be responsible of overseeing the inbound and outbound transportation networks of Aviat Networks International Shipments, encompassing activities from both the Amsterdam and Singapore Distribution Centers. Additionally, the role involves coordinating drop shipments directly from suppliers to our esteemed customer base across Europe, Middle East, and Africa. Collaborating closely with multiple departments, the incumbent will strive to ensure a seamless and efficient shipment process, thereby enhancing customer satisfaction and operational excellence.</p><p>Responsibilities:</p><ul><li>Assist with the shipping coordination from the vendor strictly abiding by Inco-terms rules and requirements</li><li>Review and maintain import/export docs compliance with international trade rules and regulations (COO, HS codes )</li><li>Show task ownership and build track records of shipment statuses, RMAs, closed but not pending to clear shipments</li><li>Monitor, track and audit inventory levels ensuring physical goods match system</li><li>Daily oversight of unshipped and pending orders in collaboration with the OF team</li><li>Understand the various shipping methods related to ecommerce</li><li>Extract tracking information and other key data points from carrier websites or other online tools</li><li>Establish methodology for data mining and distill for analysis</li><li>Coordinate and oversee the transportation of goods via Road, Ocean, and Air modes.</li><li>Collaborate with carriers, freight forwarders, and third-party logistics providers to ensure timely and cost-effective delivery of products to designated destinations</li><li>Analyze transportation routes and identify opportunities to optimize logistics operations, reducing lead times and transportation costs while maximizing efficiency.</li><li>Identify potential transportation risks and develop strategies to mitigate them.</li><li>Proactively address any issues related to transportation delays, damage, or disruptions</li><li>Maintain open communication channels with internal teams, suppliers, and customers to keep them informed about shipment status, tracking details, and any transportation-related updates</li><li>Coordinate and oversee pre-shipment inspections to ensure products meet quality standards, regulatory requirements, and customer specifications before they are shipped.</li><li>Handle all aspects of Letter of Credit, including documentation, compliance, and negotiation, to ensure smooth financial transactions with international partners.</li><li>Leverage expertise in logistics to adapt and integrate newly acquired operations into existing supply chain framework seamlessly</li><li>Partner closely with colleagues in Sales, Order Management, Order Fulfillment, Operations, PLM, and Supply Chain</li><li>Document system/operation gaps and work on improvement methods to adjust for best practice</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Batchelor degree (preferred) in Supply Chain Management, Logistics, or related field</li><li>5+ years experience in Freight Forwarding or Logistics department</li><li>Good understanding of ecommerce, transportation industry, fulfillment operations and/or customer service</li><li>Knowledge of transportation regulations, customs procedures, and international shipping practices.</li><li>Proficient with Oracle ERP System</li><li>Detail-oriented with strong analytical and problem-solving skills</li><li>Strong written and interpersonal communication skills</li><li>Able to prioritize demands and multi-task to complete objectives</li><li>Excellent written and verbal communication skills</li><li>Able to balance multiple priorities at once whilst managing time appropriately</li><li>Able to work cohesively with multiple teams and have acute attention to detail</li><li>Able to build relationships with external partners, drop-ship vendors, and carriers</li><li>Able to work under pressure especially at quarter end</li></ul><p></p></section>

<p><h4>Description</h4> <p>Aspire Software is looking for a Forward Deployed Engineer (AI) to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the role</h4> <p>As a Forward Deployed Engineer (AI), you embed directly with our businesses to design and ship AI-powered solutions against real, often messy, problems. You'll move between companies and domains — building a retrieval pipeline for one business one month, standing up an agent workflow for another the next. You own problems end to end: understand the domain, scope the solution, build it, and get it into production.</p> <p>This is fundamentally a builder's role. We care far more about whether you can turn a problem into working software with modern AI tooling than about the title you held before. That means we're open to two kinds of people: experienced software developers, and senior product managers (or others from a product background) who have the technical know-how to actually build things themselves. If you can ship, and you're fluent with AI tooling, the lane you came from matters less than what you can do with it.</p> <h4>Why this role is different</h4> <ul> <li>Hard problems, real impact. The projects are demanding and technically ambitious — you'll work at the frontier of what current AI tooling makes possible, on systems people actually depend on.</li> <li>Breadth no single company can offer. Across finance, logistics, education, government, and automotive, you'll see a far wider range of problems, data, and constraints than you would inside one product — and get sharp at recognizing patterns across all of them.</li> <li>Latest tools, encouraged. We expect you to use the best available AI development tools and to push them hard. Experimentation is part of the job, not a side project.</li> <li>Genuinely generous with tooling. This is one of the real perks of the role. Our leadership structure lets us purchase tools quickly, and we're open about which AI toolsets you use — if a tool will make you faster or better, we'll get it for you without a drawn-out approval process.</li> <li>Autonomy. You're trusted to go deep into a business, figure out what's worth building, and ship it.</li> </ul> <h4>What you'll do</h4> <ul> <li>Embed with portfolio businesses to identify, scope, and build AI-powered solutions to high-value problems.</li> <li>Design and build RAG (retrieval-augmented generation) pipelines and agentic systems that integrate with each business's data and workflows.</li> <li>Integrate large language models via APIs (Anthropic Claude, OpenAI/GPT, and others) into production applications.</li> <li>Use AI-native development tools (Cursor, Claude, Windsurf) and automation platforms (n8n and similar) to build and ship quickly.</li> <li>Take projects from problem framing through to deployed, maintainable software.</li> <li>Move fluidly between business domains, ramping up fast on unfamiliar industries and codebases.</li> </ul> <h4>Requirements</h4> <p>The non-negotiable is that you can build. Beyond that, we recognize two paths into this role:</p> <ul> <li><strong>Senior software developers</strong> — you've built and shipped real systems and can operate independently. (In rare cases we'll consider a less experienced developer who is exceptionally strong with AI tooling, but senior experience is the norm.)</li> <li><strong>Senior product managers / product backgrounds</strong> — you've worked in a product or product-management role and have the genuine technical know-how to build things yourself, not just spec them. If you can take a problem and ship a working AI-powered solution, your product instincts are a real asset here.</li> </ul> <p>Whichever path you come from, we also expect:</p> <ul> <li>Hands-on experience with AI-native tools such as Cursor, Claude, and Windsurf, and a genuine interest in AI more broadly.</li> <li>Comfort integrating AI APIs (Anthropic, OpenAI, and others) into real applications.</li> <li>The ability to own ambiguous problems end to end and ship.</li> <li>Adaptability — you enjoy jumping into new domains and getting productive quickly.</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience building RAG pipelines in production.</li> <li>Experience building agents / agentic workflows.</li> <li>Familiarity with n8n or similar automation / orchestration platforms.</li> <li>Exposure to any of our verticals: finance, logistics, education, government, or automotive.</li> </ul> <h4>Tools & technologies you'll work with</h4> <p>Anthropic Claude · OpenAI/GPT · Cursor · Windsurf · RAG pipelines · AI agents · n8n · LLM APIs</p></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for a Forward Deployed Engineer (AI) to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the role</h4> <p>As a Forward Deployed Engineer (AI), you embed directly with our businesses to design and ship AI-powered solutions against real, often messy, problems. You'll move between companies and domains — building a retrieval pipeline for one business one month, standing up an agent workflow for another the next. You own problems end to end: understand the domain, scope the solution, build it, and get it into production.</p> <p>This is fundamentally a builder's role. We care far more about whether you can turn a problem into working software with modern AI tooling than about the title you held before. That means we're open to two kinds of people: experienced software developers, and senior product managers (or others from a product background) who have the technical know-how to actually build things themselves. If you can ship, and you're fluent with AI tooling, the lane you came from matters less than what you can do with it.</p> <h4>Why this role is different</h4> <ul> <li>Hard problems, real impact. The projects are demanding and technically ambitious — you'll work at the frontier of what current AI tooling makes possible, on systems people actually depend on.</li> <li>Breadth no single company can offer. Across finance, logistics, education, government, and automotive, you'll see a far wider range of problems, data, and constraints than you would inside one product — and get sharp at recognizing patterns across all of them.</li> <li>Latest tools, encouraged. We expect you to use the best available AI development tools and to push them hard. Experimentation is part of the job, not a side project.</li> <li>Genuinely generous with tooling. This is one of the real perks of the role. Our leadership structure lets us purchase tools quickly, and we're open about which AI toolsets you use — if a tool will make you faster or better, we'll get it for you without a drawn-out approval process.</li> <li>Autonomy. You're trusted to go deep into a business, figure out what's worth building, and ship it.</li> </ul> <h4>What you'll do</h4> <ul> <li>Embed with portfolio businesses to identify, scope, and build AI-powered solutions to high-value problems.</li> <li>Design and build RAG (retrieval-augmented generation) pipelines and agentic systems that integrate with each business's data and workflows.</li> <li>Integrate large language models via APIs (Anthropic Claude, OpenAI/GPT, and others) into production applications.</li> <li>Use AI-native development tools (Cursor, Claude, Windsurf) and automation platforms (n8n and similar) to build and ship quickly.</li> <li>Take projects from problem framing through to deployed, maintainable software.</li> <li>Move fluidly between business domains, ramping up fast on unfamiliar industries and codebases.</li> </ul> <h4>Requirements</h4> <p>The non-negotiable is that you can build. Beyond that, we recognize two paths into this role:</p> <ul> <li><strong>Senior software developers</strong> — you've built and shipped real systems and can operate independently. (In rare cases we'll consider a less experienced developer who is exceptionally strong with AI tooling, but senior experience is the norm.)</li> <li><strong>Senior product managers / product backgrounds</strong> — you've worked in a product or product-management role and have the genuine technical know-how to build things yourself, not just spec them. If you can take a problem and ship a working AI-powered solution, your product instincts are a real asset here.</li> </ul> <p>Whichever path you come from, we also expect:</p> <ul> <li>Hands-on experience with AI-native tools such as Cursor, Claude, and Windsurf, and a genuine interest in AI more broadly.</li> <li>Comfort integrating AI APIs (Anthropic, OpenAI, and others) into real applications.</li> <li>The ability to own ambiguous problems end to end and ship.</li> <li>Adaptability — you enjoy jumping into new domains and getting productive quickly.</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience building RAG pipelines in production.</li> <li>Experience building agents / agentic workflows.</li> <li>Familiarity with n8n or similar automation / orchestration platforms.</li> <li>Exposure to any of our verticals: finance, logistics, education, government, or automotive.</li> </ul> <h4>Tools & technologies you'll work with</h4> <p>Anthropic Claude · OpenAI/GPT · Cursor · Windsurf · RAG pipelines · AI agents · n8n · LLM APIs</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Forward Deployed Engineer, (AI) to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the Role: As a Forward Deployed Engineer (AI) , you embed directly with our businesses to design and ship AI-powered solutions against real, often messy, problems.<br> You'll move between companies and domains — building a retrieval pipeline for one business one month, standing up an agent workflow for another the next.<br> You own problems end to end: understand the domain, scope the solution, build it, and get it into production.<br> This is fundamentally a builder's role.<br> We care far more about whether you can turn a problem into working software with modern AI tooling than about the title you held before.<br> That means we're open to two kinds of people: experienced software developers , and senior product managers (or others from a product background) who have the technical know-how to actually build things themselves.<br> If you can ship, and you're fluent with AI tooling, the lane you came from matters less than what you can do with it.<br> Why This Role Is Different Hard problems, real impact.<br> The projects are demanding and technically ambitious — you'll work at the frontier of what current AI tooling makes possible, on systems people actually depend on.<br> Breadth no single company can offer.<br> Across finance, logistics, education, government, and automotive, you'll see a far wider range of problems, data, and constraints than you would inside one product — and get sharp at recognizing patterns across all of them.<br> Latest tools, encouraged.<br> We expect you to use the best available AI development tools and to push them hard.<br> Experimentation is part of the job, not a side project.<br> Genuinely generous with tooling.<br> This is one of the real perks of the role.<br> Our leadership structure lets us purchase tools quickly, and we're open about which AI toolsets you use — if a tool will make you faster or better, we'll get it for you without a drawn-out approval process.<br> Autonomy. You're trusted to go deep into a business, figure out what's worth building, and ship it.<br> What You'll Do Embed with portfolio businesses to identify, scope, and build AI-powered solutions to high-value problems.<br> Design and build RAG (retrieval-augmented generation) pipelines and agentic systems that integrate with each business's data and workflows.<br> Integrate large language models via APIs ( Anthropic Claude, OpenAI / GPT , and others) into production applications.<br> Use AI-native development tools ( Cursor, Claude, Windsurf ) and automation platforms ( n8n and similar) to build and ship quickly.<br> Take projects from problem framing through to deployed, maintainable software.<br> Move fluidly between business domains, ramping up fast on unfamiliar industries and codebases.<br> The non-negotiable is that you can build.<br> Beyond that, we recognize two paths into this role: Senior software developers — you've built and shipped real systems and can operate independently.<br> (In rare cases we'll consider a less experienced developer who is exceptionally strong with AI tooling, but senior experience is the norm.<br>) Senior product managers / product backgrounds — you've worked in a product or product-management role and have the genuine technical know-how to build things yourself, not just spec them.<br> If you can take a problem and ship a working AI-powered solution, your product instincts are a real asset here.<br> Whichever path you come from, we also expect: Hands-on experience with AI-native tools such as Cursor, Claude, and Windsurf , and a genuine interest in AI more broadly.<br> Comfort integrating AI APIs (Anthropic, OpenAI, and others) into real applications.<br> The ability to own ambiguous problems end to end and ship.<br> Adaptability — you enjoy jumping into new domains and getting productive quickly.<br> Nice to Have Experience building RAG pipelines in production.<br> Experience building agents / agentic workflows.<br> Familiarity with n8n or similar automation / orchestration platforms.<br> Exposure to any of our verticals: finance, logistics, education, government, or automotive.<br> Tools &amp; Technologies You'll Work With Anthropic Claude · OpenAI / GPT · Cursor · Windsurf · RAG pipelines · AI agents · n8n · LLM APIs</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Aspire Software is looking for an AI Engineer to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>About the job: This is a builder role for someone obsessed with what agents can actually do in production. You'll design and ship autonomous AI systems that operate inside the Polygon marketplace agents that understand jewelry listings, assist buyers and sellers, surface intelligence across decades of trade data, and automate workflows that have been manual for forty years. You won't just be wiring up LLM calls. You'll be designing agentic systems end-to-end: tool definitions, planning loops, memory, evals, guardrails, observability, and the product surfaces that put these capabilities in front of real users.</p><p>Key Responsibilities</p><ul><li>Design and build agentic systems that power core marketplace experiences listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics</li><li>Architect tool-using agents with reliable planning, execution, and recovery</li><li>Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring</li><li>Partner with product and design to translate agentic capabilities into UX that members actually use and trust</li><li>Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently</li><li>Stay on the frontier evaluate new models, frameworks, and techniques and bring the ones that matter into production</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>3 - 5 years of experience</p><p>Production experience building agentic systems with LLMs not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</p><p>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</p><p>Experience designing and running evals for non-deterministic systems</p><p>Strong software engineering fundamentals TypeScript/Python, modern web stack, API design</p><p>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for an AI Engineer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: This is a builder role for someone obsessed with what agents can actually do in production.<br> You'll design and ship autonomous AI systems that operate inside the Polygon marketplace — agents that understand jewelry listings, assist buyers and sellers, surface intelligence across decades of trade data, and automate workflows that have been manual for forty years.<br> You won't just be wiring up LLM calls.<br> You'll be designing agentic systems end-to-end: tool definitions, planning loops, memory, evals, guardrails, observability, and the product surfaces that put these capabilities in front of real users.<br> Key Responsibilities Design and build agentic systems that power core marketplace experiences — listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics Architect tool-using agents with reliable planning, execution, and recovery Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring Partner with product and design to translate agentic capabilities into UX that members actually use and trust Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production 3 - 5 years of experience Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming Experience designing and running evals for non-deterministic systems Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</span> </div>

<p><h4>About the company</h4> <p>Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>We are looking for a senior machine learning engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.</p> <h4>What you'll work on</h4> <ul> <li><strong>Pricing intelligence:</strong> Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.</li> <li><strong>Demand forecasting:</strong> Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.</li> <li><strong>Safe experimentation:</strong> Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.</li> <li><strong>Production ML:</strong> Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.</li> <li><strong>Problem-solving and customer investigations:</strong> Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements.</li> <li><strong>Data and intelligent experiences:</strong> Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.</li> </ul> <h4>Tech stack</h4> <ul> <li>Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic</li> <li>PostgreSQL/Supabase and Redis</li> <li>Pandas, Polars, NumPy, and statsmodels</li> <li>OpenAI, Anthropic, LangChain, and LangGraph</li> <li>PredictHQ and multiple hotel PMS and market-data integrations</li> <li>AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch</li> <li>Docker, GitHub Actions, Prometheus, and PostHog</li> </ul> <h4>Requirements</h4> <ul> <li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li> <li>Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.</li> <li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li> <li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li> <li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li> <li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li> <li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li> <li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li> <li>The judgment to balance model sophistication with reliability, explainability, and business value.</li> <li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li> <li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li> <li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li> <li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li> </ul> <h4>Nice to have</h4> <p>You do not need everything on this list:</p> <ul> <li>Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li> <li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li> <li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li> <li>Causal inference and off-policy evaluation.</li> <li>Model drift, data-quality monitoring, and experiment-tracking systems.</li> <li>Multi-tenant SaaS or event-driven architectures.</li> <li>Debugging distributed systems and third-party integrations in production.</li> <li>LLM applications and agentic workflows.</li> <li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li> <li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li> </ul> <h4>What we value</h4> <ul> <li>Speed with quality — ship fast, but ship code and models a staff engineer would approve.</li> <li>AI-native workflow — you don't just know about AI tools, you use them daily to write, debug, and architect.</li> <li>Ownership — pick up a problem and drive it to completion without hand-holding.</li> <li>Simplicity — elegant solutions over over-engineered ones. Minimal code that does the job.</li> <li>Curiosity — our domain (hotel revenue optimization) has real depth. You're excited to learn it.</li> </ul></p><p></p>

<p>Aspire Software is looking for a Data Scientist to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.</p><p>What You'll Work On</p><ul><li>Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.</li><li>Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.</li><li>Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.</li><li>Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.</li><li>Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements.</li><li>Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.</li></ul><p>Tech Stack</p><ul><li>Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic</li><li>PostgreSQL/Supabase and Redis</li><li>Pandas, Polars, NumPy, and statsmodels</li><li>OpenAI, Anthropic, LangChain, and LangGraph</li><li>PredictHQ and multiple hotel PMS and market-data integrations</li><li>AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch</li><li>Docker, GitHub Actions, Prometheus, and PostHog</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li><li>Strong Python and SQL skills, including experience building modular, typed, tested production software not only exploratory notebooks.</li><li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li><li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li><li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li><li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li><li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li><li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li><li>The judgment to balance model sophistication with reliability, explainability, and business value.</li><li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li><li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li><li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li><li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li></ul><p>Nice to Have</p><ul><li>You do not need everything on this list:</li><li>Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li><li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li><li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li><li>Causal inference and off-policy evaluation.</li><li>Model drift, data-quality monitoring, and experiment-tracking systems.</li><li>Multi-tenant SaaS or event-driven architectures.</li><li>Debugging distributed systems and third-party integrations in production.</li><li>LLM applications and agentic workflows.</li><li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li><li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li></ul><p>What We Value</p><ul><li>Speed with quality: Ship fast, but ship code and models a staff engineer would approve</li><li>AI-native workflow: You don't just know about AI tools, you use them daily to write, debug, and architect</li><li>Ownership: Pick up a problem and drive it to completion without hand-holding</li><li>Simplicity: Elegant solutions over over-engineered ones. Minimal code that does the job</li><li>Curiosity: Our domain (hotel revenue optimization) has real depth. You're excited to learn it</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Data Scientist to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution.<br> This is not a research-only role.<br> You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services.<br> Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.<br> What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.<br> Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.<br> Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.<br> Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.<br> Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior.<br> Trace customer-reported issues to their root cause and turn incidents into lasting improvements.<br> Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.<br> Tech Stack Python 3.<br>11, FastAPI, Pydantic, SQLAlchemy 2.<br>0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog Experience taking machine-learning systems from problem definition through production deployment and monitoring.<br> Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.<br> A solid foundation in statistics, experimentation, forecasting, and model evaluation.<br> Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.<br> Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.<br> Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.<br> Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.<br> A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.<br> The judgment to balance model sophistication with reliability, explainability, and business value.<br> Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.<br> Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.<br> A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.<br> Years of experience are a useful signal, but not the deciding factor.<br> We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.<br> Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.<br> Probabilistic demand forecasting or hierarchical Bayesian modeling.<br> Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.<br> Causal inference and off-policy evaluation.<br> Model drift, data-quality monitoring, and experiment-tracking systems.<br> Multi-tenant SaaS or event-driven architectures.<br> Debugging distributed systems and third-party integrations in production.<br> LLM applications and agentic workflows.<br> AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.<br> Hospitality experience is welcome, but not required.<br> We will help you learn the domain.<br> What We Value Speed with quality — Ship fast, but ship code and models a staff engineer would approve AI-native workflow — You don't just know about AI tools, you use them daily to write, debug, and architect Ownership — Pick up a problem and drive it to completion without hand-holding Simplicity — Elegant solutions over over-engineered ones.<br> Minimal code that does the job Curiosity — Our domain (hotel revenue optimization) has real depth.<br> You're excited to learn it</span> </div>

<p>Build production AI systems for clients. You'll design and ship agentic workflows on Claude and AWS Bedrock AgentCore, retrieval systems backed by Bedrock Knowledge Bases, and MCP-based automations that connect directly into client tool stacks (Notion, Linear, HubSpot, AWS, Google Workspace, and more). This is a hands-on build role. You will write code, deploy infrastructure, and sit in client rooms explaining why the system behaves the way it does.</p><p>Tasks &amp; Responsibilities</p><ul><li>Design and build applied AI systems on Claude and AWS Bedrock AgentCore: RAG pipelines backed by Bedrock Knowledge Bases, agentic workflows, and multi-tool orchestration via MCP.</li><li>Own delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring.</li><li>Integrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace).</li><li>Translate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached.</li><li>Document architecture and decisions in the client's Notion record so infra details never live only in someone's head.</li><li>Work alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made.</li><li>Select and tune the right model, retrieval strategy, and Knowledge Base configuration per use case.</li><li>Build and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does.</li><li>Design agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls.</li><li>Instrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client.</li><li>Write modular infrastructure as code (Terraform) for AI workloads on AWS.</li><li>Conduct architecture reviews on other engineers' AI builds and flag failure modes before they ship.</li></ul><p>Competencies</p><ul><li>Can explain to a client, in plain language, why an agent made the tool call it made</li><li>Comfortable debugging a production LLM failure under time pressure, not just in a notebook</li><li>Can wire an MCP server into an agent and debug why a tool call didn't fire</li></ul><p>Tools &amp; Certifications</p><ul><li>Strong Python engineering; comfort with AWS</li><li>Practical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design</li><li>Hands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases</li><li>Nice to have: AWS Certified Machine Learning Engineer Associate, AWS Certified Generative AI Developer Professional, AWS Certified Solutions Architect Associate or Professional, AWS Certified Developer Associate, AWS Certified Security Specialty (relevant given our compliance posture)</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Master's degree in Computer Science or equivalent</p><p>Previous experience building and shipping production ML/AI systems</p><p>Fluent in English and Arabic</p>

<p>Build production AI systems for clients. You'll design and ship agentic workflows on Claude and AWS Bedrock AgentCore, retrieval systems backed by Bedrock Knowledge Bases, and MCP-based automations that connect directly into client tool stacks (Notion, Linear, HubSpot, AWS, Google Workspace, and more). This is a hands-on build role. You will write code, deploy infrastructure, and sit in client rooms explaining why the system behaves the way it does.</p><p><strong>Tasks &amp; Responsibilities</strong></p><ul><li>Design and build applied AI systems on Claude and AWS Bedrock AgentCore: RAG pipelines backed by Bedrock Knowledge Bases, agentic workflows, and multi-tool orchestration via MCP.</li><li>Own delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring.</li><li>Integrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace).</li><li>Translate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached.</li><li>Document architecture and decisions in the client's Notion record so infra details never live only in someone's head.</li><li>Work alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made.</li><li>Select and tune the right model, retrieval strategy, and Knowledge Base configuration per use case.</li><li>Build and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does.</li><li>Design agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls.</li><li>Instrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client.</li><li>Write modular infrastructure as code (Terraform) for AI workloads on AWS.</li><li>Conduct architecture reviews on other engineers' AI builds and flag failure modes before they ship.</li></ul><p><strong>Competencies</strong></p><ul><li>Can explain to a client, in plain language, why an agent made the tool call it made</li><li>Comfortable debugging a production LLM failure under time pressure, not just in a notebook</li><li>Can wire an MCP server into an agent and debug why a tool call didn't fire</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Education, Experience &amp; Language</h2><ul><li>Master's degree in Computer Science or equivalent</li><li>Previous experience building and shipping production ML/AI systems</li><li>Fluent in English and Arabic</li></ul><h2>Tools &amp; Certifications</h2><ul><li>Strong Python engineering; comfort with AWS</li><li>Practical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design</li><li>Hands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases</li><li>Nice to have: AWS Certified Machine Learning Engineer Associate, AWS Certified Generative AI Developer Professional, AWS Certified Solutions Architect Associate or Professional, AWS Certified Developer Associate, AWS Certified Security Specialty (relevant given our compliance posture)</li></ul>

<p><h4>Aspire Software company overview</h4> <p>Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners, someone who understands both the product experience and the platform mechanics underneath it.</p> <h4>Key responsibilities</h4> <ul> <li>Build and ship AI features using our PHP/MySQL/React/Node stack with OpenAI API integration.</li> <li>Extend Astro Core chatbot capabilities with new read/write actions, graph generation, and analysis outputs.</li> <li>Help improve the external MCP connector schema, authentication, and capability surface.</li> <li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li> <li>Build the token metering and usage tracking layer per feature, per customer, per tier.</li> <li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li> <li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li> <li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li> <li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li> </ul> <h4>Requirements</h4> <strong>AI product development</strong> <ul> <li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li> <li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li> <li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li> <li>Experience building quality evaluation and output validation frameworks around AI features.</li> <li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li> </ul> <strong>Platform & architecture thinking</strong> <ul> <li>Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.</li> <li>Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.</li> <li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li> <li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li> </ul> <strong>Core stack</strong> <ul> <li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li> <li>Solid PHP development experience — comfortable extending a production codebase, not just greenfield.</li> <li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li> <li>Typescript: used on the backend of the MCP layer.</li> </ul> <p>Bachelor’s degree in Computer Science, Information Systems, Engineering or a related field.</p> <p>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</p> <p>Strong understanding of artificial intelligence, machine learning, generative AI, and automation concepts.</p> <p>Strong presentation, communication, and stakeholder management skills.</p> <p>Experience working directly with customers and senior business stakeholders.</p> <p>Excellent problem-solving and analytical skills.</p></p><p></p>

<p><h4>Aspire Software company overview</h4> <p>Aspire Software is looking for a full stack software developer to join our team in Lebanon. Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>As a full stack developer you’ll design, build, and maintain features across the full stack — from database and back-end services through to the front-end screens our customers use every day. You’ll work within a collaborative, cross-functional team to solve real technical challenges and deliver improvements that thousands of grant managers rely on across the UK and beyond. We’re a remote-first company, so you’ll collaborate with teammates across locations and are trusted to do your best work wherever you’re based.</p> <p>This is a hands-on development role for someone who’s ready to take ownership of features and grow their skills quickly. You’ll contribute to technical discussions, learn from experienced engineers, and help raise the quality of everything we ship.</p> <p>Just as importantly, this is an AI-native role. We expect you to use modern AI tooling to problem-solve and deliver faster every day, while also helping us build AI capabilities directly into the Flexigrant platform. If using AI to accelerate your work is already second nature to you, you’ll fit right in.</p> <h4>Key responsibilities</h4> <ul> <li>Design, develop, and maintain robust, scalable, and secure features across the full stack</li> <li>Write clean, efficient, well-documented code that adheres to best practices</li> <li>Use AI tooling as a core part of your daily workflow to problem-solve, write, review, and ship code faster</li> <li>Help build AI-powered features into the Flexigrant platform</li> <li>Contribute to technical discussions and architectural decisions within the team</li> <li>Take part in code reviews to maintain quality and share knowledge</li> <li>Debug and resolve issues across the application stack</li> <li>Work with the product owner and team to refine requirements and turn them into working software</li> <li>Participate in agile ceremonies — sprint planning, daily stand-ups, and retrospectives</li> <li>Contribute to continuous improvement of our development processes and practices</li> <li>Help support and maintain the production environment</li> <li>Stay current with emerging technologies, with a particular focus on advances in AI</li> </ul> <h4>Requirements</h4> <ul> <li>2+ years of professional software development experience building secure, scalable applications in a fast-paced agile environment</li> <li>Strong proficiency in C# / VB.NET and the .NET stack, including .NET Core and ASP.NET (MVC / Web API)</li> <li>Solid front-end skills across HTML, CSS, JavaScript and TypeScript</li> <li>Experience coding responsive web applications for a range of devices and browsers</li> <li>Strong relational database skills, particularly MS SQL Server and T-SQL, including schema design, data modelling, and query optimisation</li> <li>Good understanding of application architecture and software design principles (SOLID, DRY, object-oriented design)</li> <li>Understanding of security best practices in software development</li> <li>Knowledge of RESTful API design and implementation, and service-based architecture</li> <li>Experience with cloud platforms, preferably Microsoft Azure</li> <li>Experience with version control systems</li> <li>Understanding of CI/CD pipelines and DevOps practices</li> <li>Ability to write automated tests (unit, integration, etc.)</li> <li>Experience using Claude Code and/or other AI coding tools (e.g. Cursor, GitHub Copilot) as part of day-to-day development</li> <li>Experience using agentic AI software development lifecycles and workflows</li> <li>Ability to translate requirements from meetings and conversations into user stories or technical specs</li> </ul> <h4>Working AI-native</h4> <p>AI is central to how we build, not an afterthought. This role calls for someone who is AI-native: you already reach for AI to accelerate your work, and you’re excited to help embed AI deeper into both our development process and our product. We’ll explore your AI fluency in the interview, so be ready to talk through — and show — how you work.</p> <p>What “AI-native” means to us:</p> <ul> <li>You use AI coding tools such as Claude Code, Cursor, or GitHub Copilot as a natural, daily part of how you write, review, test, and ship code</li> <li>You have experience with agentic AI software development lifecycles and workflows — directing AI agents to plan, build, and iterate on real work, rather than using AI only for autocomplete or to answer one-off questions and queries</li> <li>You know how to prompt, steer, and critically review AI output, keeping quality and security high rather than blindly accepting suggestions</li> <li>You’re keen to help design and build AI-powered features into the Flexigrant platform</li> <li>You stay on top of a fast-moving field, continually adopting new tools and techniques that make you and the team more effective</li> </ul> <p>The bar here is high: we’re looking for someone at least as AI-native as our strongest engineers, and ideally someone who can raise it further.</p> <h4>Personal characteristics</h4> <ul> <li>Strong problem-solving skills with attention to detail</li> <li>Excellent written and verbal communication, able to be clear, concise, and accurate with both technical and non-technical audiences</li> <li>Self-motivated, with the ability to work independently when needed</li> <li>Collaborative team player who thrives in cross-functional environments</li> <li>Genuine passion for learning and staying current with technology, especially AI</li> <li>Pragmatic approach to development, with a focus on delivering value</li> <li>Resilience and adaptability when facing technical challenges</li> <li>Customer-focused mindset that considers end-user impact</li> </ul></p><p></p>