Ship Mechanic Jobs

<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>

<p>HAMAP-Humanitaire https://hamap-humanitaire.org Halte aux Mines AntiPersonnel (HAMAP)-Humanitaire is a French NGO, established in 1999 in order to contribute to the struggle against mines and the risks it presents to civilian population. HAMAP-Humanitaire is active in 13 countries and pursues a mission of support to local partners from the need assessment, through project conception and to its sustainable implementation. HAMAP-Humanitaire diversified its field of activity, to encompass two sectors: Engineering (WASH, construction, energy) and Mine Action. Requirements and job status Minimum education: EOD Level 3+ qualification Minimum experience: 10 Years Required travel: Yes No of jobs: 1 Job Description PDF - HAMAP Humanitaire LinkedIn page</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Formally recognised EOD Level 3+ qualification or equivalent advanced military EOD qualification.</li><li>Demonstrated advanced explosive ordnance technical knowledge, including Advanced Explosive Theory as a minimum.</li><li>Proven competence in ADW and bulk demolitions.</li><li>IEDD qualification is highly desirable.</li><li>Strong knowledge of IMAS and land release principles.</li><li>Strong understanding of Quality Management in humanitarian mine action.</li><li>Demonstrated competence in SOP development, QA/QC, training design, and operational risk management.</li><li>Minimum 10 years of professional experience in humanitarian mine action or comparable explosive ordnance technical operations.</li><li>Substantial experience in EOD, clearance, BAC, and land release.</li><li>Minimum 5 years of senior technical advisory, programme operations, QA/QM, training, or capacity-strengthening experience.</li><li>Experience supporting local or national partners through capacity strengthening, mentoring, technical governance, and systems development.</li><li>Proven experience in SOP development, technical documentation, QA/QC systems, training architecture, competency assurance, and technical review.</li><li>Experience in proposal design, technical methodology development, logframe/KPI design, asset-staffing planning, and donor reporting is strongly desirable.</li><li>Experience in the Middle East, particularly Lebanon, Iraq, Syria, or comparable operational contexts, is highly desirable.</li><li>Experience with national mine action authorities, technical working groups, accreditation processes, and national standards is strongly desirable.</li><li>Experience with mechanical support to clearance, rubble clearance, heritage-sensitive clearance, or similar specialised contexts is desirable.</li><li>Experience with IMSMA-compatible reporting, GIS, Survey123, task dossiers, QA/QC dashboards, and HMA information management systems is desirable.</li><li>Strong understanding of the full HMA toolbox, including NTS, TS, clearance, BAC, EOD spot tasks, EORE/CPP integration, QA/QC, training, IM, and partner capacity strengthening.</li><li>Advanced technical credibility in EOD and clearance.</li><li>Strong understanding of land release methodology and evidence-based decision-making.</li><li>Ability to design systems, not only deliver activities.</li><li>Ability to translate IMAS, NMAS, and organisational SOPs into practical field systems.</li><li>Ability to provide strategic technical direction while respecting country management and partner ownership.</li><li>Ability to assess partner capacity and design realistic capacity development pathways.</li><li>Strong analytical skills and evidence-based judgement.</li><li>Strong report-writing, technical drafting, and SOP-writing skills.</li><li>Ability to design training architecture, competency frameworks, and technical assessment tools.</li><li>Ability to review operational data, task dossiers, QA/QC records, training records, and donor reporting for technical consistency.</li><li>Ability to advise on equipment, mechanical assets, procurement specifications, and technical suitability.</li><li>Ability to identify when external expertise is required and facilitate appropriate technical support.</li><li>Ability to work across cultures, countries, technical disciplines, and organisational levels.</li><li>Ability to manage sensitive operational, technical, and reputational risks.</li><li>English: fluent, mandatory.</li><li>French: working level desirable.</li><li>Arabic: strong asset.</li><li>English is mandatory because the role requires technical drafting, SOP review, IMAS/NMAS interpretation, donor inputs, proposal support, coordination with HQ, and high-level reporting.</li><li>Systematically reporting to in-line manager his/her activities and seeking approval before undertaking any unplanned activity.</li><li>Acting in a proper way, according to HAMAP-Humanitaire values, with all actors: this excludes any discrimination on basis of nationality, ethnicity, religion, class, gender, sexual orientation or political affiliation.</li><li>Respecting the various local habits and customs, as well as the country s laws and rules, in order to preserve HAMAP-Humanitaire respectability.</li><li>Respecting strict confidentiality regarding HAMAP-Humanitaire documents, projects (ongoing and future), prospects of development, stakeholders and providers, unless instructed differently by the Country Director.</li><li>Avoiding any use of the job position in HAMAP-Humanitaire for personal purposes.</li></ul>

<p>Day-to-day vessel operations and coordination with Masters.</p><p>Vessel requisitions, purchasing coordination, and supplier follow-up.</p><p>Inventory and vessel stores monitoring.</p><p>Coordination with Technical and Procurement teams.</p><p>Repairs, workshops, surveys, and service providers.</p><p>Vessel OPEX and cost monitoring.</p><p>Marine documentation, reporting, and compliance.</p><p>Strong organizational, communication, and follow-up skills.</p><p><strong>Desired Candidate Profile</strong></p><p>Experience: 5 7 years in marine operations, ship management, or a related maritime environment.</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>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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the role<p>You will be the hands that turn our story into something people actually see, and the hands that build it live, not just hand it off. Qureos turns hiring from a process measured in months into one measured in days. Our AI agents source, screen, message and interview, cutting roughly 15 hours of manual recruiter work out of every role and distributing that role across 2,000+ job boards. We raised $5M seed round led by Prosus Ventures, with Salica Oryx Fund, Oraseya Capital, COTU Ventures and an early HubSpot executive alongside them. We are funded, we are growing, and we are expanding the team for the next phase.</p><br><br><p><strong><br>Why the work matters</strong></p><br><br><p>Every campaign we run, every landing page we ship, is someone's first impression of what "hiring shouldn't take 8 weeks" actually looks like. If the design doesn't land, the message doesn't land, no matter how good the product</p><br><br><p>is underneath it. You are the difference between a scroll past and a click.</p><br><br><p><strong><br>The opportunity</strong></p><br><br><p>* Design and build, one person, no handoff gap. You design the ad, the page, the motion, and then you build</p><br><br><p>the page yourself in Webflow. No waiting on a dev queue, no meaning lost in translation.</p><br><br><p>* Two funnels, one visual language. Companies that need to hire, and the talent they hire. Different audiences,</p><br><br><p>different tone, you'll flex between both while keeping the brand unmistakably Qureos.</p><br><br><p>* Ship at growth speed. This isn't a quarterly rebrand cycle. It's ads this week, a landing page next, motion for</p><br><br><p>a launch after that, built to be tested, iterated, and killed or scaled based on what the numbers say.</p><br><br><p>* Work that reaches the whole company. You'll work directly with growth, marketing and the founders. What</p><br><br><p>you design this week is live the next.</p><br><br><p><strong><br>Who you are</strong><br>5 to 7 years designing (8+ is a plus), and you've shipped real work, not just a nice portfolio. Beyond that, four things matter:</p><br><br><p>* You can design and you can build it in Webflow. Design without the ability to build it is half a resource.</p><br><br><p>* You've built high converting landing pages, not just good looking ones.</p><br><br><p>* You've made organic social creatives and creatives for paid ads, and you know the two aren't the same game.</p><br><br><p>* You can turn "we need this by Thursday" into something good, not just something fast.</p><br><br><p>* Motion is in your toolkit, not a stretch goal.</p><br><br><p>* Arabic fluency, you catch what a translation would miss.</p><br><br><p><strong><br>What we are not looking for</strong></p><br><br><p>* Designers who need a developer to make their work real.</p><br><br><p>* Portfolio only Webflow, we mean sites you've actually built and shipped.</p><br><br><p>* People who need a brief spelled out to the pixel before they can start.</p><br><br> <br><br> </div>

<p><br></p><p>As Proximie continues to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drives better insights and decision making, you will be the engineer who makes that intelligence dependable at scale. Using your deep technical expertise and real-world production experience, you will own the platform and the infrastructure that carry our machine learning solutions out of development and into hundreds of live hospitals, and keep them performing once they are there. Our machine learning engineers own the models. You own everything that gets those models in front of a customer and keeps them running: the training and deployment infrastructure on AWS and SageMaker, reproducible and configuration-driven training runs, environments defined in code, release pipelines that make a deployment routine rather than an event, and the monitoring that tells us when a model's behaviour shifts in a theatre on the other side of the world. You will make the difference between a solution that works and a solution a hospital can depend on. This is a commercial team, and the work is grounded in real operational problems rather than internal roadmaps. The role demands precision, judgement and a deep understanding of how machine learning behaves in production, at scale, in environments that do not forgive downtime. If you are excited by complex problems with life-changing impact and want to build the systems that get technology like this into the most critical environments in healthcare, we would love to hear from you.</p><p><strong>Job Responsibilities</strong></p><ul><li>Take models built by the machine learning engineers / scientists and turn them into production services that meet our latency, cost and reliability targets.</li><li>Build and maintain SageMaker training, processing and inference workloads, and the pipelines that orchestrate them.</li><li>Make training runs reproducible and configuration-driven, so any result can be rebuilt from code.</li><li>Build monitoring for model performance, data drift and system health, and make sure the right people are alerted when something moves.</li><li>Ship infrastructure through code review rather than the console, using Terraform and a proper pull-request workflow.</li><li>Document what you build and raise the engineering standard around you.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Expert Python, with deep hands-on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV.</li><li>Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints.</li><li>Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration-driven training runs.</li><li>Containerisation and infrastructure as code: Docker and CUDA-based GPU images, plus enough Terraform to ship your own model to an environment through code review rather than a console.</li><li>Strong software engineering fundamentals: Git and pull-request workflow, automated testing, CI/CD.</li><li>Able to explain technical trade-offs clearly to people who are not engineers.</li><li><strong>Desirable</strong></li><li>Event-driven and streaming architectures on AWS: Step Functions, Lambda, Kinesis, ECS, DynamoDB.</li><li>Model monitoring in production: inference logging and drift detection.</li><li>Exposure to healthcare, medical devices or another regulated industry.</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>

<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 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> <h4>Key responsibilities</h4> <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> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI engineer 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 job</h4> <p>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> <h4>Key responsibilities</h4> <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> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></p><p></p>

<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 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> <h4>Key responsibilities</h4> <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> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI engineer 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 job</h4> <p>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> <h4>Key responsibilities</h4> <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> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></p><p></p>

<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>You will own how we reach the market across both our products: the website, the content, the social presence and the paid ads. You will sit with the Valsoft marketing team in Beirut, with peer marketers around you, and report directly to ServiceCentral's Managing Director. We are not hiring someone to do this work by hand. If you are still writing blog posts yourself, this is the wrong role. We want a marketer who reaches for Claude, Cowork or whatever comes next the moment a task repeats, builds the thing that does it, and moves on to the next problem. Manual is how a task starts here. It is not how it should still look a few weeks later. You will inherit an AI marketing pipeline we have part-built, along with our brand voice, positioning and competitive research. Treat it as a starting point. We expect you to replace it with something better, and you will have the MD building alongside you while you do.</p><h3>Responsibilities</h3><ul><li>Own the website, landing pages, blog, social and paid ads across RepairQ and ServiceManager</li><li>Keep the two products in two distinct voices. RepairQ sells to repair retailers; ServiceManager sells to OEMs, 3PLs and depots. A blended ServiceCentral message serves neither</li><li>Run first response on inbound and get every lead to the right person quickly</li><li>Build outbound assets and copy variants for our sales team, and iterate them on what actually gets replies</li><li>Report on the funnel: sessions, form fills, reply rates, leads into opportunities</li><li>Automate your own job continuously, and tell us each month what you took off your plate</li></ul><h3>Customer-facing release comms</h3><p>We ship product improvements constantly. Working with product, engineering and our customer success managers, you will turn the material already generated while we build and test releases into short videos that show customers what has changed and why it matters. Product and engineering supply the substance. The customer success managers make sure what goes out is compelling and fit to put in front of a customer.</p><h3>How we work together</h3><p>Positioning, category naming and ICP are set by the Managing Director today, so you will be working to a message that is already defined. That boundary moves as you earn it. What is yours from day one is how the message reaches the market, and what the market tells us back.</p><h3>Logistics</h3><p>Full time. Your day is shifted to overlap North America: expect around four hours of daily overlap with our Eastern Time colleagues, which means working into the early evening Beirut time.</p><p><strong>Desired Candidate Profile</strong></p><p>2 to 4 years in B2B marketing, hands on across content, social, web and paid</p><p>Fluent daily use of AI tools, and at least one thing you have built that now runs without you</p><p>Comfortable in the technical layer: a CMS, an ads platform, analytics, and enough scripting or automation tooling that "can we automate this" is a question you answer rather than ask</p><p>Clear written English. Most of what you produce is read by North American buyers</p><p>You ship. You would rather put something live and learn from it than wait for it to be perfect</p><h4>Even better if you have</h4><ul><li>Marketed a B2B SaaS product to SMB and enterprise buyers at the same time</li><li>Worked in or around retail, repair, logistics or field service</li><li>Built an internal tool, agent or workflow that other people ended up using</li></ul>

<p><h4>About the company</h4> <p>IBC Group is an industrial solutions provider specializing in advanced metal coatings, component repair, and performance engineering. We partner with manufacturers to extend the life of critical equipment, improve performance, and solve challenges related to wear, corrosion, and durability. Our capabilities include a wide range of thermal spray and performance coating technologies, supported by metallurgical expertise to ensure solutions meet demanding specifications. From restoring worn components to enhancing new parts, our work helps customers reduce downtime and improve reliability across a variety of industries. IBC Group operates focused on leveraging advanced surface engineering solutions globally.</p> <p>IBC Group is an equal opportunity employer. Full-time employees qualify for additional benefits like medical, vision, and dental insurance, paid time off (i.e. vacation), and retirement savings options.</p> <h4>Essential duties and responsibilities</h4> <p><strong>Strategic execution:</strong> Communicate and execute company strategic goals and objectives.</p> <p><strong>Technical & operational leadership:</strong> Provide technical and operational leadership across engineering, production, quality, and business development. Act as the primary technical authority for the company's thermal spray applications and component dimensional restoration, ensuring all work is technically sound, properly planned, and executed efficiently in accordance with company standards and customer requirements.</p> <p><strong>Project & group coordination:</strong> Coordinate and direct projects, plan technical activities, and ensure successful execution of work and programs. Engage with other IBC Group technical and support staff as needed.</p> <p><strong>Commercial & RFQ evaluation:</strong> Review incoming work including RFQs, contract requirements, and customer requests to ensure proper technical fit, scope, accurate industrial job costing/pricing for variable repair geometries, and scheduling before acceptance. Manage customer portals and interact directly with customers as needed.</p> <p><strong>Relationship management:</strong> Interact and build ongoing relationships with company, IBC Group customers, sponsors, and community partners.</p> <p><strong>Production alignment:</strong> Participate in production and planning meetings to communicate priorities, schedules, and expectations, ensuring alignment between technical requirements and daily operations.</p> <p><strong>Financial accountability:</strong> Monitor financial performance including P&L, job profitability, backlog, and pipeline to ensure the business operates in a highly profitable, sustainable, and commercially independent manner.</p> <p><strong>Budgeting & planning:</strong> Assist in preparing budgets, forecasts, bids, contracts, and proposals, and make recommendations regarding staffing, equipment, and operational needs based on business conditions.</p> <p><strong>CapEx ownership:</strong> Recommend and support procurement of capital equipment and technical resources, subject to company approval authority, budget limits, and applicable purchasing policies.</p> <p><strong>Technical & methodological oversight:</strong> Review technical work, reports, and methodologies to ensure accuracy, compliance, and sound engineering practices. Provide technical guidance on production, engineering, and R&D activities as required.</p> <p><strong>Knowledge codification & SOPs:</strong> Lead the extraction and transition of historical technical knowledge into codified manufacturing routes, job routers, and robust standard operating procedures (SOPs) to ensure repeatable shop-floor quality.</p> <p><strong>Subsurface & finishing operations:</strong> Oversee associated mechanical manufacturing and finishing operations critical to component repair, including pre-machining inspection, chemical stripping, masking, grit blasting, and precision post-coat grinding/machining to tight dimensional blueprint tolerances.</p> <p><strong>Team development:</strong> Assist in hiring, training, mentoring, timecard oversight, performance reviews, and corrective actions of team members, helping to ensure personnel follow procedures, policies, and performance expectations.</p> <p><strong>Executive reporting:</strong> Meet regularly with executive management to review performance, current contracts, risks, and future opportunities.</p> <p><strong>Administration & recordkeeping:</strong> Perform administrative duties as required, including approving expenditures, reviewing reports, monitoring project activity, and ensuring proper documentation and recordkeeping.</p> <p><strong>Quality & compliance audits:</strong> Follow and enforce all applicable ISO9001, AS9100, internal quality policies, OSHA safety regulations, and company safety policies. Ensure the facility and production team operate in constant compliance and are prepared for customer-specific or industry-specific technical audits.</p> <p><strong>Leadership support:</strong> Complete additional tasks or projects as assigned by company leadership.</p> <h4>Job requirements</h4> <p><strong>Citizenship status:</strong> Must be legally authorized to work in the United States without employer sponsorship. Due to potential access to export-controlled technical data, candidate must qualify as a “U.S. person” as defined under applicable export control laws, including ITAR/EAR, or otherwise be authorized to access such data under applicable law.</p> <p><strong>Education:</strong> Must have a bachelor's degree in materials science, metallurgy, mechanical engineering, mechanical engineering technology, or industrial engineering.</p> <p><strong>Thermal spray expertise:</strong> Minimum 5–10 years of hands-on or supervisory experience specifically within thermal spray coating technologies (including HVOF, plasma spray, flame spray, and arc spray) and industrial component salvage/repair operations is highly desirable.</p> <p><strong>Operations experience:</strong> Must have 5–10 years of relevant operations management experience, preferably overseeing an autonomous business unit or standalone profit center. Experience with thermal spray and manual machining in a production environment is a plus.</p> <p><strong>Project management:</strong> Must have a minimum of 5–10 years of direct project management experience.</p> <p><strong>Leadership & communication:</strong> Must have demonstrated leadership experience and excellent communication skills.</p> <p><strong>Analytical capabilities:</strong> Must be detail-oriented to understand complex systems, as well as capable of utilizing advanced mathematics for process and coating parameter development.</p> <p><strong>CAD competency:</strong> Solidworks or equivalent 3-D modeling software experience is required.</p> <p><strong>Software proficiency:</strong> Must have a strong knowledge of the Microsoft Suite of products (Office, Access, Word, Excel, Outlook, etc.).</p> <p><strong>Reporting:</strong> Must have the proven ability to write professional-level, highly technical reports.</p> <p><strong>Advanced work:</strong> Previous experience in industrial R&D and/or government contract work is a plus.</p> <p><strong>Machining & metrology knowledge:</strong> Demonstrated familiarity with precision conventional/CNC machining, industrial metrology instruments, and cylindrical/surface grinding techniques required to finish hard thermal spray surfaces.</p> <p><strong>Regulated data handling:</strong> Familiarity with ITAR/EAR compliance protocols and the secure management of controlled technical data packages.</p> <p><strong>Pre-employment screening:</strong> All employment at IBC is conditional upon successful results from background and drug testing.</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 Growth Marketing Associate 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> What your day will look like: You will own how we reach the market across both our products: the website, the content, the social presence and the paid ads.<br> You will sit with the Valsoft marketing team in Beirut, with peer marketers around you, and report directly to ServiceCentral's Managing Director.<br> We are not hiring someone to do this work by hand.<br> If you are still writing blog posts yourself, this is the wrong role.<br> We want a marketer who reaches for Claude, Cowork or whatever comes next the moment a task repeats, builds the thing that does it, and moves on to the next problem.<br> Manual is how a task starts here.<br> It is not how it should still look a few weeks later.<br> You will inherit an AI marketing pipeline we have part-built, along with our brand voice, positioning and competitive research.<br> Treat it as a starting point.<br> We expect you to replace it with something better, and you will have the MD building alongside you while you do.<br> Responsibilities Own the website, landing pages, blog, social and paid ads across RepairQ and ServiceManager Keep the two products in two distinct voices.<br> RepairQ sells to repair retailers; ServiceManager sells to OEMs, 3PLs and depots.<br> A blended ServiceCentral message serves neither Run first response on inbound and get every lead to the right person quickly Build outbound assets and copy variants for our sales team, and iterate them on what actually gets replies Report on the funnel: sessions, form fills, reply rates, leads into opportunities Automate your own job continuously, and tell us each month what you took off your plate Customer-facing release comms We ship product improvements constantly.<br> Working with product, engineering and our customer success managers, you will turn the material already generated while we build and test releases into short videos that show customers what has changed and why it matters.<br> Product and engineering supply the substance.<br> The customer success managers make sure what goes out is compelling and fit to put in front of a customer.<br> 2 to 4 years in B2B marketing, hands on across content, social, web and paid Fluent daily use of AI tools, and at least one thing you have built that now runs without you Comfortable in the technical layer: a CMS, an ads platform, analytics, and enough scripting or automation tooling that "can we automate this" is a question you answer rather than ask Clear written English.<br> Most of what you produce is read by North American buyers You ship.<br> You would rather put something live and learn from it than wait for it to be perfect Even better if you have Marketed a B2B SaaS product to SMB and enterprise buyers at the same time Worked in or around retail, repair, logistics or field service Built an internal tool, agent or workflow that other people ended up using How we work together Positioning, category naming and ICP are set by the Managing Director today, so you will be working to a message that is already defined.<br> That boundary moves as you earn it.<br> What is yours from day one is how the message reaches the market, and what the market tells us back.<br> Logistics Full time.<br> Your day is shifted to overlap North America: expect around four hours of daily overlap with our Eastern Time colleagues, which means working into the early evening Beirut time.<br></span> </div>

Role Overview <br>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. <br>Tasks & Responsibilities <br>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. <br>Own delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring. <br>Integrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace). <br>Translate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached. <br>Document architecture and decisions in the client's Notion record so infra details never live only in someone's head. <br>Work alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made. <br>Select and tune the right model, retrieval strategy, and Knowledge Base configuration per use case. <br>Build and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does. <br>Design agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls. <br>Instrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client. <br>Write modular infrastructure as code (Terraform) for AI workloads on AWS. <br>Conduct architecture reviews on other engineers' AI builds and flag failure modes before they ship. <br>Competencies <br>Can explain to a client, in plain language, why an agent made the tool call it made <br>Comfortable debugging a production LLM failure under time pressure, not just in a notebook <br>Can wire an MCP server into an agent and debug why a tool call didn't fire <br>Education, Experience & Language <br>Master's degree in Computer Science or equivalent <br>Previous experience building and shipping production ML/AI systems <br>Fluent in English and Arabic <br>Tools & Certifications <br>Strong Python engineering; comfort with AWS <br>Practical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design <br>Hands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases <br>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) <br>To Apply visit: https://digicosolutions.bamboohr.com/careers/33

<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>About the Role We're looking for a DevOps Engineer to build the infrastructure foundation that keeps our AI-powered product fast, reliable, secure, and cost-efficient. You'll set up the cloud, deployment, and monitoring systems that let a small team ship confidently and scale smoothly through the pilot and beyond. What You'll Do Design, provision, and manage cloud infrastructure (AWS, GCP, or Azure) Build and maintain CI/CD pipelines for fast, safe, automated deployments Implement infrastructure-as-code (Terraform, Pulumi, or similar) for reproducible environments Containerize and orchestrate services (Docker, Kubernetes) as the system grows Set up observability: monitoring, logging, alerting, and tracing across the stack Manage and optimize the cost, latency, and reliability of LLM and AI workloads Own security, secrets management, and access controls across environments Establish backup, disaster-recovery, and incident-response practices for the pilot</p><p><strong>Desired Candidate Profile</strong></p><ul><li>4+ years of DevOps, SRE, or infrastructure engineering experience</li><li>Strong hands-on experience with at least one major cloud provider (AWS/GCP/Azure)</li><li>Proficiency with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation)</li><li>Experience with containerization and orchestration (Docker, Kubernetes)</li><li>Solid CI/CD experience (GitHub Actions, GitLab CI, CircleCI, or similar)</li><li>Strong scripting skills (Bash, Python, or Go)</li><li>Experience implementing monitoring and observability tooling (Prometheus, Grafana, Datadog, etc.)</li><li>Security-first mindset and experience with secrets and access management</li></ul>