School agent Jobs - Beirut Lebanon

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><br>Summary:<br>We are seeking a Front Desk Agent to manage our front desk on a daily basis and to perform a variety of administrative and clerical tasks. <br><br>Job Responsibility:<br>- Greet and welcome guests as soon as they arrive at the office<br>- Direct visitors to the appropriate person and office<br>- Answer, screen, and forward incoming phone calls<br>- Ensure reception area is tidy and presentable, with all necessary stationery and materials<br>- Provide basic and accurate information in-person and via phone/email<br>- Receive, sort, and distribute daily mail/deliveries<br>- Maintain office security by following safety procedures and controlling access via the reception desk <br>- Order front office supplies and keep inventory of stock<br>- Assist in various administrative tasks as needed <br><br>Candidate Requirements:<br>- Proven work experience as a Receptionist, Front Office Representative, or similar role<br>- Proficiency in Microsoft Office Suite<br>- Professional attitude and appearance <br>- Solid communication skills both written and verbal<br>- Ability to be resourceful and proactive in dealing with issues that arise<br>- Ability to organize, multitask, prioritize, and work under pressure</p> </div>

<p>Day-to-day operational activities</p><p>Build operational processes, procedures and internal controls</p><p>Oversee cash-in, cash-out, wallet transfers and payment operations</p><p>Manage reconciliation, settlement and transaction monitoring processes</p><p>Coordinate with Compliance, Finance, Technology and Customer Support</p><p>Oversee agent, merchant and banking partner operations</p><p>Establish operational KPIs and service-quality standards</p><p>Manage operational risks, incidents and escalations</p><p>Support AML/KYC and regulatory operational requirements</p><p>Build and lead the Operations team as scales</p><p><strong>Desired Candidate Profile</strong></p><p>We re looking for an experienced Head of Operations to join our leadership team and help build the operational foundation of our growing fintech platform, a hands-on leader with strong experience in banking, fintech, payments, e-wallets or money transfer operations.</p><p>5+ years of relevant experience in fintech, banking, payments or financial services</p><p>Strong knowledge of payment and transaction operations</p><p>Experience with reconciliation and operational controls</p><p>Understanding of AML/KYC and compliance processes</p><p>Strong leadership and problem-solving skills</p><p>Ability to build processes from the ground up</p><p>Arabic &amp; English required; French is a plus</p><p>Startup mindset with strong execution capabilities</p>

<p>We are looking for a motivated and customer-focused Travel Agent to join our team. Previous experience in a travel agency or tourism industry is preferred. The ideal candidate should be passionate about travel, have excellent communication skills, and be able to provide professional service to clients.</p><p>Responsibilities</p><ul><li>Assist clients with planning and booking flights, hotels, tours, and travel packages.</li><li>Prepare customized travel itineraries and package offers.</li><li>Handle client inquiries and provide accurate travel information.</li><li>Make and manage flight and hotel reservations.</li><li>Follow up with clients before and after their trips.</li><li>Coordinate with airlines, hotels, suppliers, and tour operators.</li><li>Handle changes, cancellations, and travel-related issues professionally.</li><li>Meet sales targets and contribute to the growth of the agency.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Previous travel agency or travel industry experience is preferred.</li><li>Good knowledge of flights, hotels, destinations, and travel procedures.</li><li>Excellent communication and customer-service skills.</li><li>Good sales and negotiation skills.</li><li>Ability to work under pressure and handle multiple bookings.</li><li>Good computer skills.</li><li>Knowledge of reservation systems such as Amadeus.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><span>Senior Manager – Agency Development and Transformation</span></strong><br><p><span>Responsible for driving agency growth, digital transformation, and business development initiatives across the Agency channel. The role leads strategic initiatives that enhance agent productivity, customer experience, operational efficiency, and business performance through the adoption of digital tools, AI-enabled solutions, innovative distribution strategies, and effective change management practices.</span></p><br><br><p><span>Acts as a strategic partner to the Agency Director in shaping the future agency model, developing leadership capabilities, coaching agency leaders, and ensuring sustainable growth through people development, technology adoption, and execution excellence.</span></p><br><br><span>1. Business Development &amp; Growth</span><ul><li>Lead strategic business development initiatives to drive agency production, recruitment, activation, retention, and customer acquisition.</li><li>Identify growth opportunities through market analysis, agency performance insights, customer trends, and competitive benchmarking.</li><li>Design and execute growth campaigns focused on productivity improvement, portfolio expansion, customer retention, and cross-selling opportunities.</li><li>Partner with Agency Leaders to establish and execute annual business plans aligned with company objectives.</li><li>Drive initiatives that improve agency profitability and long-term portfolio quality.</li></ul><span>2. Digital &amp; AI Transformation</span><ul><li>Lead the agency's digital transformation agenda by promoting the adoption of digital tools, automation solutions, and AI-powered platforms.</li><li>Identify opportunities to leverage data analytics, artificial intelligence, and predictive insights to improve decision making and sales effectiveness.</li><li>Champion digital sales practices and customer engagement models across the agency network.</li><li>Collaborate with technology, operations, and business teams to implement digital solutions that enhance agent productivity and client experience.</li><li>Drive a culture of innovation, continuous improvement, and technology adoption within the agency force.</li><li>Monitor digital adoption KPIs and recommend interventions to accelerate transformation outcomes.</li></ul><span>3. Agency Leadership &amp; Organizational Development</span><ul><li>Support the Agency Director in developing and executing the agency's strategic vision and transformation roadmap.</li><li>Lead organizational development initiatives aimed at improving agency structure, governance, effectiveness, and scalability.</li><li>Strengthen leadership capability across Agency Managers and Agency Executives.</li><li>Foster a high-performance culture built on accountability, collaboration, customer centricity, and continuous development.</li><li>Act as a trusted advisor to agency leaders on organizational challenges, talent development, and business growth opportunities.</li></ul><br><span>4. Change Management &amp; Transformation Leadership</span><ul><li>Lead large-scale transformation initiatives affecting processes, people, governance, and technology.</li><li>Develop change management strategies to ensure successful implementation of business transformation programs.</li><li>Engage stakeholders across agency and operations to drive alignment and adoption of strategic initiatives.</li><li>Identify organizational barriers to change and develop mitigation plans.</li><li>Monitor transformation progress and measure business impact through clearly defined KPIs.</li></ul><span>Strategic &amp; Future-Focused Leadership</span><ul><li>Develops long-term strategies that position the agency for sustainable growth and market leadership.</li><li>Anticipates industry disruption and proactively drives innovation.</li></ul><span>Digital &amp; AI Mindset</span><ul><li>Embraces emerging technologies and promotes data-driven decision making.</li><li>Leverages AI and analytics to improve business outcomes and customer experience.</li></ul><span>Change Leadership</span><ul><li>Leads organizational transformation with resilience and agility.</li><li>Inspires commitment and adoption during periods of change and uncertainty.</li></ul><span>Business Acumen &amp; Growth Orientation</span><ul><li>Identifies growth opportunities and converts strategy into measurable results.</li><li>Balances commercial objectives with customer and employee value.</li></ul><span>Collaboration &amp; Influence</span><ul><li>Builds strong partnerships across business functions and stakeholders.</li><li>Influences without authority and aligns diverse teams around common objectives.</li></ul><br> <br><br> </div>

<p>About the Role We're looking for a Full-Stack Engineer to build our web application end-to-end and bring the MVP to life. You'll own the user-facing product and the backend that supports it, working closely with the AI Engineer to weave intelligent, real-time AI interactions into a smooth, reliable experience. What You'll Do Build and ship the web application across frontend and backend, from UI components to APIs and data models Design and implement a responsive, real-time conversational interface (React, WebSockets/SSE) Develop backend services: authentication, session management, data persistence, and third-party integrations Integrate AI and multi-agent services into the product in partnership with the AI Engineer Design and maintain databases and API contracts that scale with product complexity Own performance, reliability, and security across the stack Translate product and design requirements into well-tested, maintainable features Move fast in an early-stage environment, balancing speed with quality</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications 4+ years of full-stack software engineering experience Strong proficiency in TypeScript/JavaScript and a modern frontend framework (React preferred) Solid backend experience (Node.js, Python, or similar) building and consuming APIs Experience designing relational and/or NoSQL data models (PostgreSQL, MongoDB, etc.) Familiarity with real-time communication patterns (WebSockets, SSE) and streaming UIs Understanding of authentication, authorization, and secure data handling Experience integrating third-party APIs, ideally including LLM or AI services Comfort owning features end-to-end with minimal oversight</p>

<p>About the Role We're looking for a Full-Stack Engineer to build our web application end-to-end and bring the MVP to life. You'll own the user-facing product and the backend that supports it, working closely with the AI Engineer to weave intelligent, real-time AI interactions into a smooth, reliable experience.</p><p>What You'll Do</p><ul><li>Build and ship the web application across frontend and backend, from UI components to APIs and data models</li><li>Design and implement a responsive, real-time conversational interface (React, WebSockets/SSE)</li><li>Develop backend services: authentication, session management, data persistence, and third-party integrations</li><li>Integrate AI and multi-agent services into the product in partnership with the AI Engineer</li><li>Design and maintain databases and API contracts that scale with product complexity</li><li>Own performance, reliability, and security across the stack</li><li>Translate product and design requirements into well-tested, maintainable features</li><li>Move fast in an early-stage environment, balancing speed with quality</li></ul><p><strong>Desired Candidate Profile</strong></p><p><b>Qualifications</b></p><ul><li>4+ years of full-stack software engineering experience</li><li>Strong proficiency in TypeScript/JavaScript and a modern frontend framework (React preferred)</li><li>Solid backend experience (Node.js, Python, or similar) building and consuming APIs</li><li>Experience designing relational and/or NoSQL data models (PostgreSQL, MongoDB, etc.)</li><li>Familiarity with real-time communication patterns (WebSockets, SSE) and streaming UIs</li><li>Understanding of authentication, authorization, and secure data handling</li><li>Experience integrating third-party APIs, ideally including LLM or AI services</li><li>Comfort owning features end-to-end with minimal oversight</li></ul>

<p>Aspire Software is looking for a AI Developer 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 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><p>Key Responsibilities</p><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 new read/write actions, graph generation, analysis outputs.</li><li>Help improve the external MCP connector schema, authentication, 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><p>AI Product Development</p><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><p>Platform &amp; Architecture Thinking</p><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><p>Core Stack</p><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><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in computer science, Information Systems, Engineering or a related field.</li><li>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</li><li>Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, and automation concepts.</li><li>Strong presentation, communication, and stakeholder management skills.</li><li>Experience working directly with customers and senior business stakeholders.</li><li>Excellent problem-solving and analytical skills.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><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><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><p>Key Responsibilities</p><ul><li>Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.</li><li>Extend Astro Core chatbot capabilities new read/write actions, graph generation, analysis outputs.</li><li>Help improve the external MCP connector schema, authentication, 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><p>AI Product Development</p><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><p>Platform &amp; Architecture Thinking</p><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><p>Core Stack</p><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></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in computer science, Information Systems, Engineering or a related field.</li><li>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</li><li>Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, and automation concepts.</li><li>Strong presentation, communication, and stakeholder management skills.</li><li>Experience working directly with customers and senior business stakeholders.</li><li>Excellent problem-solving and analytical skills.</li></ul><p></p></section>

<p>We are looking for a highly skilled AI Engineer with 2 to 5 years of experience to design, develop, and deploy cutting-edge AI and machine learning solutions.<br>In this role, you will work with large datasets, build intelligent models, and drive innovation by leveraging advanced AI techniques.<br>You will collaborate with cross-functional teams to integrate AI capabilities into business applications, ensuring scalability, efficiency, and real-world impact.<br>If you have a strong foundation in machine learning, deep learning, and AI-driven problem-solving, and you're eager to push the boundaries of technology, we want to hear from you.</p><p><strong>Job Responsibilities:</strong></p><ul><li>Develop, train, and deploy machine learning models to solve business challenges.</li><li>Work with large datasets to extract insights, clean, and preprocess data.</li><li>Optimize model performance, accuracy, and efficiency.</li><li>Design and implement AI algorithms for task, computer vision, or predictive analytics.</li><li>Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions.</li><li>Stay up to date with the latest advancements in AI/ML and apply innovative techniques.</li><li>Ensure scalability and efficiency of AI solutions in production environments.</li><li>Troubleshoot and fine-tune models for performance improvement.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Qualifications &amp; Skills:</strong></p><ul><li>Education: Bachelor s degree in computer science, AI, Data Science, Data Analytics or a related field.</li><li>Experience: 2-5 years of hands-on experience in AI/ML development, power BI, copilot studio, generative AI, and AI agent</li><li>Proficiency in Python, experience with large datasets, data preprocessing, and feature engineering.</li><li>AI Specialization: Strong understanding of deep learning</li><li>Problem-Solving: Ability to analyse complex problems and implement AI-driven solutions.</li><li>Strong communication skills to work effectively with cross-functional teams.</li></ul>

<p>Responsible for delivering high customer service quality to OMT customers and agents, analysing their needs and keeping them abreast of OMT services. Accountable for ensuring high customer satisfaction by providing prompt, efficient and courteous service to OMT customers &amp; agents through solving their cases, answering their queries, participating in surveys and reporting problems to concerned departments.</p><p>Agent &amp; Customer Relationship Management:</p><ul><li>Handles incoming calls from customers with high professionalism by resolving their problems, answering their questions or providing them with information following Contact Center procedures</li><li>Analyses and evaluates agents/ customers requests; gathers needed data and case details and reports or escalates case to the concerned department by email when needed</li><li>Follows up on agents/ customers cases and provides them back with updates on their case when needed</li><li>Maintains accurate records and profiles for all agents/ customers and their cases whether seeking for information or submitting a complaint; updates system continuously along with case status</li><li>Updates and maintains database and ensures data integrity and accuracy</li><li>Engages and handles Customers inquiries via live messaging</li><li>Supports in incoming cases management</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>University Degree in Business Administration, Marketing, Public Relations or equivalent (can be in progress)</li><li>Proficiency in English and Arabic; French is a plus</li><li>Proficiency in Microsoft Office</li><li>Experience in customer service or any related field</li><li>1 - 6 years</li><li>Flexibility in working hours is needed covering shifts from Monday to Sunday.</li><li>Excellent customer service skills</li><li>Excellent interpersonal skills</li><li>Ability to work on own initiatives</li><li>High level of ethics and compliance</li><li>Ability to communicate properly and professionally</li><li>Ability to build and maintain positive relationships</li><li>Excellent organizational skills and attention to detail</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>Job Overview</strong></p><br><p>As a Front Desk Agent, you are responsible for providing a warm and welcoming experience to guests during their stay. Your primary focus is to efficiently handle check-in and check-out processes, respond to guest inquiries, and ensure a smooth and positive experience throughout their visit. Additionally, you will maintain accurate guest records, handle reservations, and collaborate with other departments to meet guest needs and expectations. Your friendly and professional demeanor will contribute to creating a memorable and enjoyable stay for our guests.</p><br><p><strong>Key Job Responsibilities</strong></p><br><ul><li>Deliver efficient, courteous, and prompt service to ensure a high level of customer satisfaction from the moment guests arrive until their departure.</li><li>Personally greet guests by name if known, escorting them to their rooms to create a sense of anticipation and welcome.</li><li>Conduct in-room and hotel familiarization, assisting guests with inquiries or requests related to hotel activities.</li><li>Stay informed about hotel information and local services, including operating hours, promotions, events, attractions, and other relevant details to effectively respond to guest queries.</li><li>Maintain awareness of daily rate levels and occupancy levels for accurate decision-making.</li><li>Adhere to Front Desk cashiering standards, ensuring precise handling of all incidental charges using computerized Front Office systems.</li><li>Process accounts seamlessly from check-in to check-out, ensuring the accurate posting of all incidental charges.</li><li>Safeguard guest privacy by refraining from disclosing any guest details.</li><li>Demonstrate a thorough understanding of the hotel's policies, procedures, and service standards, possessing comprehensive knowledge of hotel facilities and current events.</li><li>Uphold environmental, health, and safety standards in alignment with organizational policies.</li><li>Adhere to the company’s environmental, health, and safety procedures and policies.</li></ul><br><br> </div>

<p><h4>Job summary</h4> <p>We are looking for a Data Loss Prevention (DLP) Implementation Consultant to deploy, configure, and implement an enterprise Data Loss Prevention solution. The consultant will be responsible for installing and activating the DLP platform, configuring security policies, deploying endpoint agents for Windows and macOS devices, and ensuring the solution is operational and aligned with customer security requirements.</p> <h4>Key responsibilities</h4> <ul> <li>Activate and configure DLP software licenses.</li> <li>Install and deploy the DLP Management Server.</li> <li>Configure the DLP Server according to best practices.</li> <li>Design, implement, and fine-tune DLP policies.</li> <li>Configure policy rules for data protection and compliance.</li> <li>Deploy DLP endpoint agents on Windows and macOS devices.</li> <li>Validate agent communication with the DLP server.</li> <li>Perform system testing and troubleshooting.</li> <li>Monitor deployment progress and resolve implementation issues.</li> <li>Collaborate with customer IT and security teams during implementation.</li> <li>Prepare deployment documentation and configuration guides.</li> <li>Conduct knowledge transfer sessions for customer administrators.</li> <li>Support UAT and go-live activities.</li> <li>Ensure implementation follows vendor and security best practices.</li> </ul> <h4>Benefits</h4> <p>(Not specified)</p> <h4>Required qualifications</h4> <ul> <li>Bachelor's degree in Computer Science, Information Security, or a related field.</li> <li>3+ years of experience implementing enterprise DLP solutions.</li> <li>Experience deploying DLP servers and endpoint agents.</li> <li>Knowledge of Windows and macOS administration.</li> <li>Experience creating and managing DLP policies.</li> <li>Understanding of endpoint security and data protection concepts.</li> <li>Familiarity with Active Directory and Group Policy.</li> <li>Strong troubleshooting and analytical skills.</li> <li>Excellent communication and documentation skills.</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Experience with one or more DLP solutions such as:</li> <ul> <li>Forcepoint DLP</li> <li>Symantec DLP (Broadcom)</li> <li>Trellix/McAfee DLP</li> <li>Microsoft Purview DLP</li> <li>Digital Guardian</li> <li>CoSoSys Endpoint Protector</li> </ul> <li>Security certifications such as Security+, CISSP, or vendor-specific certifications.</li> <li>Experience with SIEM and endpoint security solutions.</li> <li>Experience with data classification and compliance frameworks (GDPR, ISO 27001, HIPAA, PCI-DSS).</li> </ul> <h4>Soft skills</h4> <ul> <li>Customer-facing communication skills.</li> <li>Strong documentation abilities.</li> <li>Problem-solving mindset.</li> <li>Ability to work independently.</li> <li>Strong organizational skills.</li> <li>Team collaboration.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>About the Role</strong></p><br><p>We're looking for a Full-Stack Engineer to build our web application end-to-end and bring the MVP to life. You'll own the user-facing product and the backend that supports it, working closely with the AI Engineer to weave intelligent, real-time AI interactions into a smooth, reliable experience.</p><br><p><strong>What You'll Do</strong></p><br><ul><li>Build and ship the web application across frontend and backend, from UI components to APIs and data models</li><li>Design and implement a responsive, real-time conversational interface (React, WebSockets/SSE)</li><li>Develop backend services: authentication, session management, data persistence, and third-party integrations</li><li>Integrate AI and multi-agent services into the product in partnership with the AI Engineer</li><li>Design and maintain databases and API contracts that scale with product complexity</li><li>Own performance, reliability, and security across the stack</li><li>Translate product and design requirements into well-tested, maintainable features</li><li>Move fast in an early-stage environment, balancing speed with quality</li></ul><br>Qualifications<br><ul><li>4+ years of full-stack software engineering experience</li><li>Strong proficiency in TypeScript/JavaScript and a modern frontend framework (React preferred)</li><li>Solid backend experience (Node.js, Python, or similar) building and consuming APIs</li><li>Experience designing relational and/or NoSQL data models (PostgreSQL, MongoDB, etc.)</li><li>Familiarity with real-time communication patterns (WebSockets, SSE) and streaming UIs</li><li>Understanding of authentication, authorization, and secure data handling</li><li>Experience integrating third-party APIs, ideally including LLM or AI services</li><li>Comfort owning features end-to-end with minimal oversight</li></ul><br>Additional Information<br><ul><li>Experience building with LLM APIs or AI-powered product features</li><li>Familiarity with cloud platforms (AWS/GCP/Azure) and CI/CD pipelines</li><li>Knowledge of caching, queuing, and background job processing</li><li>Prior early-stage startup or 0-to-1 product experience</li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary We are looking for a Data Loss Prevention (DLP) Implementation Consultant to deploy, configure, and implement an enterprise Data Loss Prevention solution.<br> The consultant will be responsible for installing and activating the DLP platform, configuring security policies, deploying endpoint agents for Windows and macOS devices, and ensuring the solution is operational and aligned with customer security requirements.<br> Key Responsibilities Activate and configure DLP software licenses.<br> Install and deploy the DLP Management Server.<br> Configure the DLP Server according to best practices.<br> Design, implement, and fine-tune DLP policies.<br> Configure policy rules for data protection and compliance.<br> Deploy DLP endpoint agents on Windows and macOS devices.<br> Validate agent communication with the DLP server.<br> Perform system testing and troubleshooting.<br> Monitor deployment progress and resolve implementation issues.<br> Collaborate with customer IT and security teams during implementation.<br> Prepare deployment documentation and configuration guides.<br> Conduct knowledge transfer sessions for customer administrators.<br> Support UAT and go-live activities.<br> Ensure implementation follows vendor and security best practices.<br> Required Qualifications Bachelor's degree in Computer Science, Information Security, or a related field.<br> 3+ years of experience implementing enterprise DLP solutions.<br> Experience deploying DLP servers and endpoint agents.<br> Knowledge of Windows and macOS administration.<br> Experience creating and managing DLP policies.<br> Understanding of endpoint security and data protection concepts.<br> Familiarity with Active Directory and Group Policy.<br> Strong troubleshooting and analytical skills.<br> Excellent communication and documentation skills.<br> Preferred Qualifications Experience with one or more DLP solutions such as: Forcepoint DLP Symantec DLP (Broadcom) Trellix/McAfee DLP Microsoft Purview DLP Digital Guardian CoSoSys Endpoint Protector Security certifications such as Security+, CISSP, or vendor-specific certifications.<br> Experience with SIEM and endpoint security solutions.<br> Experience with data classification and compliance frameworks (GDPR, ISO 27001, HIPAA, PCI-DSS).<br> Soft Skills Customer-facing communication skills.<br> Strong documentation abilities.<br> Problem-solving mindset.<br> Ability to work independently.<br> Strong organizational skills.<br> Team collaboration.<br></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> <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>

About Sitesee Sitesee Tech is a UAE-based technology consultancy founded in 2021. We implement and migrate ERP systems for businesses across the Gulf.<br>A big part of where we’re heading is AI. We’re building AI agents that work inside ERP systems and business software. Instead of people clicking through software to get things done, our agents do the work, handling things like sales, accounting, expenses and other day-to-day business processes.<br>We’re looking for someone who can help us turn what we’re building into content people actually want to watch.<br>The Role The core of this job is in Beirut, working in person with our technical co-founder. You’ll film with him, sit with him while he builds, understand what he’s working on, and learn the product well enough to know which thirty seconds of it are actually worth showing. That relationship is the engine of the role.<br>You’ll own the content output end to end: filming, editing, posting and scheduling.<br>Alongside that, you’ll work with our Dubai team on the monthly content calendar and overall content direction, contributing ideas, angles and scripts to the plan.<br>This isn’t a role where you’ll be handed perfectly written scripts and raw footage to edit. We want someone who gets close enough to the product and the team to spot good content themselves.<br>What You’ll Be Doing Film short-form content with our technical co-founder in Beirut Capture product demos, behind-the-scenes moments, builds, experiments and day-to-day content Turn raw footage into engaging short-form videos Edit videos for Linked In, Instagram Reels, Tik Tok and You Tube Shorts Add subtitles, cuts, hooks, graphics and other elements where needed Own posting and scheduling across our social channels Work with the Dubai team on the monthly content calendar Contribute ideas, hooks, angles and scripts Understand our products well enough to identify good content opportunities without always needing to be told Repurpose strong ideas and footage into multiple pieces of content Keep the content pipeline organised and make sure we’re publishing consistently Follow performance and learn what types of content are working so we can keep improving<br>What We’re Looking For We care much more about whether you can make great content than what degree you have. You should be someone who:Has strong video filming and editing skills Understands short-form content and what makes someone stop scrolling Is comfortable filming people and directing them naturally on camera Can take something technical and make it simple and interesting Has a good instinct for hooks, pacing and storytelling Understands platforms like Instagram, Tik Tok, Linked In and You Tube Shorts Can work independently and take ownership of the output Is organised enough to manage filming, editing, scheduling and publishing consistently Is curious and willing to actually learn how our products work Is comfortable working closely with a technical founder and turning spontaneous conversations or product builds into content<br>You do not need to already understand ERP systems, Odoo or AI agents. We can teach you that. But you do need to be curious enough to learn.<br>The Content Most of what we produce will be short-form. Long form youtube content is also part of our content strategy down the line.<br>Think:Product demos AI agent demos Founder-led videos Building-in-public content Behind-the-scenes clips Educational content Opinions and commentary around AI, ERP and business software Real examples of problems we’re solving for companies<br>We don’t want overly polished corporate videos. We want content that feels natural, sharp, interesting and human.

<p>Result of Service The consultant will design and pilot a small set of policy lenses that extract structured, comparable representations from policy documents, and demonstrate their value on a bounded corpus from a small number of ESCWA member States, in a form that ESCWA can evaluate and extend afterward. The assignment is a feasibility pilot, not a production system: one policy domain, three to five countries, three to five lenses, evaluated qualitatively with policy-expert input. Work Location Remote Expected duration 6 months Duties and Responsibilities Background: The Decision Support and Data Science Division (DSDS) of the United Nations Economic and Social Commission for Western Asia (ESCWA) seeks a part-time consultant to design and pilot Policy Lens, a structured evidence-synthesis approach for policy documents. Comparing how several countries approach a policy issue means reading many national strategies, evaluations and progress reviews, written years apart and with uneven rigour. Patterns across the set: shared causal assumptions, claims backed by evidence versus simply asserted, targets - are hard to see even when the information is in the text. Policy Lens addresses this by applying an analytical lens to the whole document set at once. Each lens rests on a frame: a defined structure with specific fields that every document maps onto, so outputs are comparable across documents rather than readable one at a time. Examples include a Theory of Change lens, an evidence-strength lens and a gap-detection lens. ESCWA already operates two LLM-based systems: Mustashar, a retrieval-augmented question-answering system, and Naseej, an interactive multi-agent system that drafts substantive policy reports and briefs based on a UN knowledge corpus. Both produce prose for a human reader; neither produces structured, comparable representations. Policy Lens is intended as complementary infrastructure that can feed more reliable, structured material into both. The intended source corpus is the Arab Development Portal (ADP), whose Knowledge Hub documents are already tagged by country, SDG and theme, alongside structured indicator data and an SDG data-availability tracker. This lowers the extraction burden for descriptive and gap-detection lenses in a pilot. Duties and responsibilities: Under the supervision of the Chief of DSDS, the consultant will: 1. Design the lens framework. Articulate the lens/frame concept and develop a taxonomy of lenses (descriptive/comparative, causal, gap-detection), with a justification for Theory of Change as the starting point for the causal category. 2. Apply political-neutrality safeguards. Build neutrality into lens design, especially gap-detection lenses, framing findings as opportunities for regional learning or support rather than as country scorecards. 3. Scope the pilot corpus with ESCWA. Agree on one policy domain and three to five countries and select well-structured English-language documents (national strategies, official reports) from ADP and other sources ESCWA provides. 4. Specify and test three to five pilot lenses. Include at least one descriptive lens (e.g. SDG Alignment), one causal lens (e.g. Theory of Change) and one gap-detection lens (e.g. Population Coverage), each with a defined extraction schema. 5. Build a simple extraction and comparison pipeline. Implement three stages extraction, structuring into the lens schema, output generation using LLM APIs within the budget ESCWA confirms, and leveraging existing ADP metadata and indicator data where possible. 6. Produce structured outputs for policymakers. Generate tables, comparison views and simple visualizations (e.g. a theory-of-change diagram per country). 7. Run an expert validation round. Coordinate a lightweight qualitative review of outputs by experts ESCWA identifies, focused on substantive accuracy, and document findings and error patterns. 8. Recommend integration paths. Assess concretely how Policy Lens outputs could feed Naseej (as structured source material for briefs) and Mustashar (as a structured index alongside text retrieval), in consultation with the teams that own those systems. 9. Document and hand over. Deliver code, schemas, prompts and documentation in ESCWA's repositories so the work can be reproduced and extended. 10. Prepare a methods paper (best effort). Draft a methods-oriented paper on the lens/frame approach, grounded in pilot results, for possible submission with ESCWA clearance. Languages English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required. Note: Fluency equals a rating of fluent in all four areas (speak, read, write, and understand) and Knowledge of equals a rating of confident in two of the four areas. Additional Information Not available. No Fee THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS BANK ACCOUNTS.</p><p><strong>Desired Candidate Profile</strong></p><p>A Master's degree or equivalent in computer science, data science, computational linguistics, public policy, economics or related area is required. A PhD is desirable. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. At least five years of progressively responsible experience in applied NLP, LLM-based systems or data science is required. Demonstrated experience building LLM pipelines for information extraction or structured output (schema-constrained generation, prompt design, evaluation) is required. Proficiency in Python and common LLM/NLP tooling is required. Experience analyzing public policy documents, evidence synthesis, or Theory of Change and results frameworks is desirable. Familiarity with the SDG framework and development indicators is desirable. Experience with retrieval-augmented or multi-agent systems is desirable. Publications in NLP, computational social science or policy analytics is desirable. Prior work with the UN system or other international organizations, particularly in the Arab region is desirable.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The consultant will design and pilot a small set of policy lenses that extract structured, comparable representations from policy documents, and demonstrate their value on a bounded corpus from a small number of ESCWA member States, in a form that ESCWA can evaluate and extend afterward. The assignment is a feasibility pilot, not a production system: one policy domain, three to five countries, three to five lenses, evaluated qualitatively with policy-expert input.<br> Work Location<br>Remote<br> Expected duration<br>6 months<br> Duties and Responsibilities<br>Background: The Decision Support and Data Science Division (DSDS) of the United Nations Economic and Social Commission for Western Asia (ESCWA) seeks a part-time consultant to design and pilot Policy Lens, a structured evidence-synthesis approach for policy documents. Comparing how several countries approach a policy issue means reading many national strategies, evaluations and progress reviews, written years apart and with uneven rigour. Patterns across the set: shared causal assumptions, claims backed by evidence versus simply asserted, targets - are hard to see even when the information is in the text. Policy Lens addresses this by applying an analytical lens to the whole document set at once. Each lens rests on a frame: a defined structure with specific fields that every document maps onto, so outputs are comparable across documents rather than readable one at a time. Examples include a Theory of Change lens, an evidence-strength lens and a gap-detection lens. ESCWA already operates two LLM-based systems: Mustashar, a retrieval-augmented question-answering system, and Naseej, an interactive multi-agent system that drafts substantive policy reports and briefs based on a UN knowledge corpus. Both produce prose for a human reader; neither produces structured, comparable representations. Policy Lens is intended as complementary infrastructure that can feed more reliable, structured material into both. The intended source corpus is the Arab Development Portal (ADP), whose Knowledge Hub documents are already tagged by country, SDG and theme, alongside structured indicator data and an SDG data-availability tracker. This lowers the extraction burden for descriptive and gap-detection lenses in a pilot. Duties and responsibilities: Under the supervision of the Chief of DSDS, the consultant will: 1. Design the lens framework. Articulate the lens/frame concept and develop a taxonomy of lenses (descriptive/comparative, causal, gap-detection), with a justification for Theory of Change as the starting point for the causal category. 2. Apply political-neutrality safeguards. Build neutrality into lens design, especially gap-detection lenses, framing findings as opportunities for regional learning or support rather than as country scorecards. 3. Scope the pilot corpus with ESCWA. Agree on one policy domain and three to five countries and select well-structured English-language documents (national strategies, official reports) from ADP and other sources ESCWA provides. 4. Specify and test three to five pilot lenses. Include at least one descriptive lens (e.g. SDG Alignment), one causal lens (e.g. Theory of Change) and one gap-detection lens (e.g. Population Coverage), each with a defined extraction schema. 5. Build a simple extraction and comparison pipeline. Implement three stages — extraction, structuring into the lens schema, output generation — using LLM APIs within the budget ESCWA confirms, and leveraging existing ADP metadata and indicator data where possible. 6. Produce structured outputs for policymakers. Generate tables, comparison views and simple visualizations (e.g. a theory-of-change diagram per country). 7. Run an expert validation round. Coordinate a lightweight qualitative review of outputs by experts ESCWA identifies, focused on substantive accuracy, and document findings and error patterns. 8. Recommend integration paths. Assess concretely how Policy Lens outputs could feed Naseej (as structured source material for briefs) and Mustashar (as a structured index alongside text retrieval), in consultation with the teams that own those systems. 9. Document and hand over. Deliver code, schemas, prompts and documentation in ESCWA's repositories so the work can be reproduced and extended. 10. Prepare a methods paper (best effort). Draft a methods-oriented paper on the lens/frame approach, grounded in pilot results, for possible submission with ESCWA clearance.<br> Qualifications/special skills<br>A Master's degree or equivalent in computer science, data science, computational linguistics, public policy, economics or related area is required. A PhD is desirable. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. At least five years of progressively responsible experience in applied NLP, LLM-based systems or data science is required. Demonstrated experience building LLM pipelines for information extraction or structured output (schema-constrained generation, prompt design, evaluation) is required. Proficiency in Python and common LLM/NLP tooling is required. Experience analyzing public policy documents, evidence synthesis, or Theory of Change and results frameworks is desirable. Familiarity with the SDG framework and development indicators is desirable. Experience with retrieval-augmented or multi-agent systems is desirable. Publications in NLP, computational social science or policy analytics is desirable. Prior work with the UN system or other international organizations, particularly in the Arab region is desirable.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>Not available.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<p>Role Overview: Support the day-to-day operation of the company s security controls monitoring, vulnerability management, application security testing and audit evidence under the guidance of senior members of the security team, while building towards independent ownership of technical security topics. Key Responsibilities: Security monitoring: triage SIEM alerts, escalating genuine incidents and helping tune rules to reduce false positives. Endpoint security: monitor EDR/XDR consoles, check agent coverage and follow up on detections. Vulnerability management: run scans, prepare reports and follow up with system owners until findings are closed. Patch and configuration: track patch compliance and verify hardening baselines against agreed standards. Application security: run scans, triage results with developers and track remediation. Firewall and network security: assist with Fortinet FortiGate policy changes, rule reviews and log analysis. Identity and access: support access reviews, MFA enrolment and joiner-mover-leaver checks. Cloud security: monitor security posture and configuration alerts in Azure. Incident support: assist investigations, collect evidence and document timelines and actions taken. Audit and compliance support: gather and organize evidence for internal and external audits and keep the findings tracker current. Documentation: maintain procedures, asset and control records, runbooks and technical documentation. Awareness: help deliver phishing simulations and security awareness material and handle user queries. Reporting: prepare recurring security metrics and dashboards for the security team.</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications and Experience: Degree in Computer Science, Information Security, Engineering or a related field, or equivalent training. 0 3 years of experience in IT or cybersecurity (internships, apprenticeships, SOC or helpdesk experience count). Understanding of cybersecurity fundamentals: CIA triad, common attack types, risk, defense in depth. Working knowledge of networking (TCP/IP, DNS, VPN, firewalls) and operating systems (Windows and Linux). Awareness of application security basics, including the OWASP Top 10. Exposure to SIEM, EDR and vulnerability scanning tools. Familiarity with at least one cloud platform (Azure) and with Microsoft 365 security tooling. Basic scripting ability (PowerShell, Python or Bash) for reporting and simple automation. Awareness of security frameworks such as ISO 27001, NIST CSF or CIS Controls. Preferred certifications: CompTIA Security+, Microsoft SC-200, Fortinet NSE 1 3, AZ-500, CEH or equivalent. Good English, clear written documentation and a collaborative, service-oriented attitude.</p>

<p>Aspire Software is looking for a AI Developer 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:</p><p>Design, build, and ship full stack applications (modern front-end frameworks like React, plus API and service layers) where AI capabilities are core to the product, not bolted on</p><p>Build LLM-powered features end-to-end: prompt and context engineering, RAG pipelines, structured outputs, and agent workflows integrated with product data and APIs</p><p>Use AI-assisted development tools (Claude Code, Copilot, Cursor) as a force multiplier owning architecture and code quality while delegating implementation speed to AI</p><p>Design and maintain evaluation frameworks for AI features: golden datasets, automated evals, regression testing on prompt/model changes, and production monitoring for drift and quality</p><p>Own features from ambiguous requirements through production deployment including CI/CD, observability, and post-launch iteration</p><p>AI Product Development</p><p>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</p><p>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</p><p>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</p><p>Experience building quality evaluation and output validation frameworks around AI features.</p><p>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</p><p><strong>Desired Candidate Profile</strong></p><p>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</p><p>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</p><p>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</p><p>Experience building quality evaluation and output validation frameworks around AI features.</p><p>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</p>