School agent Jobs
632 Jobs Found
<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><br></p> <strong>What you will do</strong> <p> <strong>Design and deploy AI agents</strong> </p> <ul> <li>Design and deploy AI agents that support operational work, including support triage, internal workflow automation, sales support, onboarding tasks, knowledge handling, reporting and analysis</li> <li>Build agents and workflows that integrate with CRM, ERP, internal tools, SaaS platforms and APIs</li> <li>Use multi step workflows, tool using agents, decision logic and orchestration patterns where appropriate</li> <li>Move quickly from idea to pilot to production while maintaining clear standards for quality and reliability</li> <li>Design and implement AI agents and workflow automations that support PDLC activities such as requirements drafting, backlog preparation, technical research, code generation, test generation, documentation, defect triage, release support, and post release analysis</li> <li>Identify manual or repetitive PDLC tasks and convert them into scalable AI assisted workflows, including integrations with tools such as Jira, Confluence, GitHub, service platforms, and internal systems</li> <li>Partner with Product, Engineering, QA, Support, and other stakeholders to pilot, refine, and scale agentic PDLC workflows across teams</li> </ul> <p> <strong>Redesign business workflows</strong> </p> <ul> <li>Identify high value automation opportunities with functional leaders and operators</li> <li>Redesign workflows so repetitive and rules-based work is handled by AI wherever safe and practical</li> <li>Support the shift to AI first intake, triage, knowledge retrieval, simple response handling and case preparation in service operations</li> <li>Help teams redesign work around a clear human and agent division of labour</li> <li>Help establish safe and scalable standards for AI use across the PDLC, including review points, escalation paths, auditability, fallback handling, and quality controls for AI generated artefacts</li> </ul> <p> <strong>Governance, quality and evaluation</strong> </p> <ul> <li>Work within approved tooling standards, data and security guardrails, and design standards for agents and evaluation</li> <li>Establish monitoring, fallback handling, escalation logic, prompt and workflow controls, and human review mechanisms</li> <li>Test workflows with real users and real operational scenarios before scaling</li> <li>Measure agent quality, workflow success, containment, handoff quality and operational value</li> <li>Continuously improve workflows based on usage data, user feedback and service outcomes</li> </ul> <p> <strong>Adoption and enablement</strong> </p> <ul> <li>Partner with functional leaders and frontline teams to support rollout and adoption</li> <li>Document new ways of working and help train users on how to work effectively with AI agents</li> <li>Surface workflow risks, resistance points and improvement opportunities</li> <li>Contribute reusable prompts, components, patterns and playbooks to the central AI capability</li> </ul> <p> <strong>Cross functional delivery</strong> </p> <ul> <li>Collaborate with Product, Engineering, Support, Sales and Professional Services teams</li> <li>Help prioritise use cases based on measurable business value, feasibility and operational readiness</li> <li>Support the central AI capability with value tracking, reporting and continuous learning across initiatives</li> </ul> <strong>What success looks like</strong> <ul> <li>Reduction in manual work and process cycle time</li> <li>Improved support response times and service leverage</li> <li>Workflow success rate and agent task completion quality</li> <li>Ticket containment or deflection where relevant</li> <li>Handoff quality for escalated or human reviewed work</li> <li>User adoption of AI enabled workflows</li> <li>Hours saved and team capacity created</li> <li>Contribution to service, productivity and customer outcomes</li> <li>Reduced manual effort across PDLC activities, faster movement from idea to release, improved quality of delivery artefacts, and stronger adoption of AI enabled workflows across Product and Engineering teams</li> </ul><p><strong>Desired Candidate Profile</strong></p><ul> <li>Proven track record of building products, tools, workflows, automations, startups, or side projects that went live and delivered measurable value</li> <li>Strong working knowledge of AI and machine learning tools, large language models and agent frameworks</li> <li>Experience building AI agents, workflow automations or AI powered internal tools</li> <li>Experience designing or improving workflows across software or product delivery lifecycles, including the use of AI tools, agents, or automations to improve speed, quality, and operational leverage</li> <li>Ability to go from zero to functional prototype quickly</li> <li>Strong systems thinking and comfort working across tools, processes and teams</li> <li>Comfort with ambiguity and the ability to help define the problem as well as the solution</li> <li>Bias toward action, with discipline around quality, evaluation and operational safety</li> <li>Ability to work directly with business stakeholders and translate operational pain points into practical AI solutions</li> </ul> <strong>Nice to have</strong> <ul> <li>Experience building AI agents or service automation workflows</li> <li>Experience in hospitality, retail, vertical SaaS, or B2B software environments</li> <li>Experience working across multiple product lines, business units or operational functions</li> <li>Familiarity with support operations, CRM workflows, or Professional Services delivery models</li> <li>Experience with analytics, reporting and operational performance measurement</li> </ul> <ul> <li>A bachelor s degree in Artificial Intelligence, Software Engineering, Computer Science, Robotics, Mechanical Engineering or a related discipline</li> </ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Responsible for identifying sales prospects for insurance plans and managing a portfolio of clients. His/her main duty is meeting potential clients to grow the customers base by exploring clients needs and matching them with our products and services. Also accountable for handling policy renewals, and servicing client needs. The Sales Agent we are looking for should be a dedicated sales professional who is interested in building a client portfolio in the insurance industry.</p><p><b>Responsibilities</b></p><ul><li>Responsible for developing long term relationship with clients, assess their insurance needs and provide them with accurate solutions</li><li>Prospect for potential leads from different resources to build a database of prospective clients</li><li>Conduct daily client visits to assess potential insurance needs.</li><li>Ensure full submission of new applications with proper information and premium settlements</li><li>Ensure quality after-sales service in order to improve customer satisfaction, plan future follow-up visits and evaluation of needs</li><li>Complete Agent activity report on daily basis and review ratios with unit manager on weekly basis</li><li>Ensure proper completion of policy requirements by coordinating with the concerned departments</li><li>Update job knowledge by participating in trainings and maintaining personal networks</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in business administration or related field.</li><li>Minimum 2 years work experience in Sales, consulting, banking services, insurance, </li><li>Strong command of spoken and written English and Arabic</li></ul><p></p></section>
<h2 class="h5">Job description</h2>
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<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: The AI Automation Engineer is responsible for designing, deploying and improving AI agents and agentic workflows that automate routine operational work, augment teams, and improve speed, quality and scalability across the business.<br> This role is not about building disconnected experiments.<br> It is about delivering real workflow change in priority areas, initially focused on Support, Sales, Professional Services and internal operational workflows.<br> The role works closely with functional leaders and frontline teams to identify high value use cases, redesign workflows, deploy safe and useful agents, and ensure adoption in day-to-day operations.<br> The AI Automation Engineer helps shift repetitive, rules based and data intensive work to AI agents, while preserving human ownership of judgment, sensitive customer interactions, escalations, quality assurance, exception handling and continuous knowledge improvement.<br> About the Job This position sits within our New Products division, building new products on a modern technology stack.<br> Our engineering teams are organized as functional pods: small groups that own a product end to end, from data model through to release, with no dependency on a separate team to deploy.<br> This structure requires engineers who work confidently across the full stack, exercise independent judgment without detailed specifications, and deliver at pace.<br> Key responsibilities Build and maintain customer-facing products using Next.<br>js and Python, backed by PostgresQL Develop Al-powered product features, including retrieval over customer data, agentic workflows and natural-language interfaces Implement integrations with CRM platforms such as Salesforce and HubSpot, and with the hospitality systems our customers operate Own the underlying data layer, covering schema design, query performance and data exchange with external systems AI-Native Engineering This position assumes fluency with Al in two respects.<br> Building with Al: demonstrated experience delivering features on LLM APIs, including prompt design, structured output, evaluation of output quality, cost management at scale, and judgment about when a model is not the appropriate solution.<br> Developing with Al : established use of tools such as Claude Code or Cursor in your standard workflow, with sound judgment about what to delegate, what requires verification, and where these tools produce inaccurate results.<br> Profesional proficiency in Python and TypeScript/Next.<br>js, with suficient breadth to adopt additional languages as required Strong database capability beyond basic operations, including schema design, indexing and query optimization Experience integrating third-party APls, covering authentication, rate limiting, pagination and failure handling A demonstrated record of delivering software to production and supporting it in operation Sound product judgment, with the ability to scope work from objectives rather than specifications Written English suitable for daily asynchronous collaboration with colleagues in North America Preferred Qualifications Hospitality or travel technology; Salesforce or HubSpot development; vector databases, retrieval-augmented generation or agent frameworks; cloud infrastructure and CI/CD Working environment Pods carry genuine ownership, including visibility of how their products perform in production.<br> All work is peer reviewed, and we prioritize delivering focused functionality and iterating on it over long planning cycles.<br> The Lebanon office collaborates daily with colleagues in North America, with some overlap hours expected.<br></span> </div>
<h2 class="h5">Job description</h2>
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Result of Service<br>The IC will be responsible for the following: 1. Optimal and timely provision of conference services in accordance to the conference standards used by the Department of General Assembly and Conference Management (DGACM); 2. Servicing of ESCWA meetings and events is done to the satisfaction of the organizers and the participants; 3. With the assistance of the meeting services attendant, meeting and events run smoothly, and substantive offices are able to fulfill their mandates in a satisfactory manner.<br> Work Location<br>UN-House ESCWA<br> Expected duration<br>4 months<br> Duties and Responsibilities<br>This position is located within the Conference Management Section (CMS), Resource Management and Service Development Division (RMSDD) of the Economic and Social Commission for Western Asia (ESCWA). The meeting services attendant will report directly to the Chief Conference Management Section. The IC is required to undertake the following tasks: 1. Monitor meeting requests submitted on gMeets and books rooms and other services requested; 2. Assist the Unit with cost estimates that are requested on ESCWA’s portal of services, as needed; 3. Assist with matters related to the cost estimator currently being developed within CMS; 4. Assist entering data in e-APG pertaining to interpreters that are in the roster and who are hired to service at meetings and events; 5. Assiss in the preparation of the preliminary list and annotation of agenda items; 6. Prepare the list of participants, as necessary; 7. Prepare and organize sets of official documentation and reference material, and distribute them in the conference room; 8. Prepare invitations to participants to attend meetings/conferences; 9. Escort participants to the conference room, upon request; 10. Distribute texts of speeches and conference room papers to the podium, interpreters and précis-writers, and delegations or participants in the meeting room; 11. Distribute stationery supplies in the conference room; 12. Assist relevant officials/participants and delegates in the meeting room on meeting-related matters; 13. Assist in the coordination with the interpreters and the sound technician; 14. Assist the Chair on the needs of the podium, as needed; 15. Assist in the coordination for coffee breaks, as needed; 16. Assist the information desk, as needed; 17. Distribute bottles of water during intergovernmental meetings, or as requested; 18. Perform general office management functions as required; 19. Assist in the management and coordination of ESCWA and non-ESCWA meetings; 20. Prepare the conference room the day before the meetings takes place, including: a. Type the name and title of each participant on the nameplate template; b. Print each nameplate and insert them on holders; c. Carry the holders to the conference room; d. Set up nameplates in conference rooms as per the approved seating protocol for podium, official delegations, observers and other participating entities; e. Retrieve, distribute and/or set up nameplates for meetings on an urgent basis; f. Set up the meeting room; g. Collect the holders and other conference items and place them in the storage (e.g. UN flags etc). 21. Carry out other tasks as requested by the Chief and the senior staff.<br> Qualifications/special skills<br>A High School diploma or equivalent is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed A minimum of three years of experience in conference services, meeting services management or related area is required. Experience working in the United Nations or other multinational or international organization 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 and Arabic is required. Knowledge of French is desirable. 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>Recruitment for this position is on a local basis. The incumbent is required to have the legal right to live and work in the specified working location.<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>
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<p>The AI Automation Engineer is responsible for designing, deploying and improving AI agents and agentic workflows that automate routine operational work, augment teams, and improve speed, quality and scalability across the business. This role is not about building disconnected experiments. It is about delivering real workflow change in priority areas, initially focused on Support, Sales, Professional Services and internal operational workflows. The role works closely with functional leaders and frontline teams to identify high value use cases, redesign workflows, deploy safe and useful agents, and ensure adoption in day-to-day operations. The AI Automation Engineer helps shift repetitive, rules based and data intensive work to AI agents, while preserving human ownership of judgment, sensitive customer interactions, escalations, quality assurance, exception handling and continuous knowledge improvement.</p><p><b><br></b></p><p><b>What you will do</b></p><ul><li>Design and deploy AI agents</li><li>Design and deploy AI agents that support operational work, including support triage, internal workflow automation, sales support, onboarding tasks, knowledge handling, reporting and analysis</li><li>Build agents and workflows that integrate with CRM, ERP, internal tools, SaaS platforms and APIs</li><li>Use multi step workflows, tool using agents, decision logic and orchestration patterns where appropriate</li><li>Move quickly from idea to pilot to production while maintaining clear standards for quality and reliability</li><li>Design and implement AI agents and workflow automations that support PDLC activities such as requirements drafting, backlog preparation, technical research, code generation, test generation, documentation, defect triage, release support, and post release analysis</li><li>Identify manual or repetitive PDLC tasks and convert them into scalable AI assisted workflows, including integrations with tools such as Jira, Confluence, GitHub, service platforms, and internal systems</li><li>Partner with Product, Engineering, QA, Support, and other stakeholders to pilot, refine, and scale agentic PDLC workflows across teams</li><li>Redesign business workflows</li><li>Identify high value automation opportunities with functional leaders and operators</li><li>Redesign workflows so repetitive and rules-based work is handled by AI wherever safe and practical</li><li>Support the shift to AI first intake, triage, knowledge retrieval, simple response handling and case preparation in service operations</li><li>Help teams redesign work around a clear human and agent division of labour</li><li>Help establish safe and scalable standards for AI use across the PDLC, including review points, escalation paths, auditability, fallback handling, and quality controls for AI generated artefacts</li><li>Governance, quality and evaluation</li><li>Work within approved tooling standards, data and security guardrails, and design standards for agents and evaluation</li><li>Establish monitoring, fallback handling, escalation logic, prompt and workflow controls, and human review mechanisms</li><li>Test workflows with real users and real operational scenarios before scaling</li><li>Measure agent quality, workflow success, containment, handoff quality and operational value</li><li>Continuously improve workflows based on usage data, user feedback and service outcomes</li><li>Adoption and enablement</li><li>Partner with functional leaders and frontline teams to support rollout and adoption</li><li>Document new ways of working and help train users on how to work effectively with AI agents</li><li>Surface workflow risks, resistance points and improvement opportunities</li><li>Contribute reusable prompts, components, patterns and playbooks to the central AI capability</li><li>Cross functional delivery</li><li>Collaborate with Product, Engineering, Support, Sales and Professional Services teams</li><li>Help prioritise use cases based on measurable business value, feasibility and operational readiness</li><li>Support the central AI capability with value tracking, reporting and continuous learning across initiatives</li><li><b><br></b></li><li><b>What success looks like</b></li><li>Reduction in manual work and process cycle time</li><li>Improved support response times and service leverage</li><li>Workflow success rate and agent task completion quality</li><li>Ticket containment or deflection where relevant</li><li>Handoff quality for escalated or human reviewed work</li><li>User adoption of AI enabled workflows</li><li>Hours saved and team capacity created</li><li>Contribution to service, productivity and customer outcomes</li><li>Reduced manual effort across PDLC activities, faster movement from idea to release, improved quality of delivery artefacts, and stronger adoption of AI enabled workflows across Product and Engineering teams.</li><li>Proven track record of building products, tools, workflows, automations, startups, or side projects that went live and delivered measurable value</li><li>Strong working knowledge of AI and machine learning tools, large language models and agent frameworks</li><li>Experience building AI agents, workflow automations or AI powered internal tools</li><li>Experience designing or improving workflows across software or product delivery lifecycles, including the use of AI tools, agents, or automations to improve speed, quality, and operational leverage</li><li>Ability to go from zero to functional prototype quickly</li><li>Strong systems thinking and comfort working across tools, processes and teams</li><li>Comfort with ambiguity and the ability to help define the problem as well as the solution</li><li>Bias toward action, with discipline around quality, evaluation and operational safety</li><li>Ability to work directly with business stakeholders and translate operational pain points into practical AI solutions</li><li><b><br></b></li><li><b>Nice to have</b></li><li>Experience building AI agents or service automation workflows</li><li>Experience in hospitality, retail, vertical SaaS, or B2B software environments</li><li>Experience working across multiple product lines, business units or operational functions</li><li>Familiarity with support operations, CRM workflows, or Professional Services delivery models</li><li>Experience with analytics, reporting and operational performance measurement</li></ul><p><strong>Desired Candidate Profile</strong></p>A bachelor's degree in Artificial Intelligence, Software Engineering, Computer Science, Robotics, Mechanical Engineering or a related discipline
<h2 class="h5">Job description</h2>
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<p>Junior Sales Executive (Freight Forwarding), Beirut</p><p>Position: Junior Sales Executive</p><p>Location: Jal El Dib, Lebanon</p><p>Industry: Freight Forwarding & Logistics</p><p><br></p><p>About Us-</p><p>We are a family-run freight forwarding company with four generations of industry experience, operating across Australia, Cameroon, Côte d'Ivoire, Ghana, and Lebanon. We're growing our Beirut team and looking for a motivated junior sales professional to join us.</p><p><br></p><p>The Role-</p><p>You'll support the sales team in identifying new business opportunities, maintaining client relationships, and helping grow our freight forwarding client base across sea and air freight services (FCL/LCL). This is an entry-level role with strong growth potential for someone eager to build a career in international logistics.</p><p><br></p><p>Responsibilities-</p><p>Generate and follow up on sales leads for freight forwarding services</p><p>Assist in preparing and sending client quotations (FCL/LCL, air freight)</p><p>Maintain and update client and agent records</p><p>Build relationships with new and existing clients</p><p>Coordinate with operations teams to ensure smooth handovers</p><p>Attend client meetings and support senior sales staff</p><p><br></p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p>Responsibilities-</p><p>Generate and follow up on sales leads for freight forwarding services</p><p>Assist in preparing and sending client quotations (FCL/LCL, air freight)</p><p>Maintain and update client and agent records</p><p>Build relationships with new and existing clients</p><p>Coordinate with operations teams to ensure smooth handovers</p><p>Attend client meetings and support senior sales staff</p><p>Requirements</p><p>0–2 years of experience in sales, logistics, or a related field (freight forwarding experience a plus, not required)</p><p>Fluent in Arabic and English; French a plus</p><p>Strong communication and interpersonal skills</p><p>Comfortable with basic computer/CRM tools</p><p>Self-motivated, organized, and eager to learn</p><p><br></p><p>What We Offer</p><p>Hands-on training in international freight forwarding</p><p>Exposure to a multinational network across four continents</p><p>Career growth opportunities within a well-established, family-owned business</p><p>Competitive salary + commission structure</p><p><br></p></div>
<p>We are looking for a motivated and professional Real Estate Agent to join our growing real estate team. The ideal candidate will have excellent communication and sales skills, a strong understanding of the real estate market, and the ability to build relationships with both local and international clients.</p><p><b><br></b></p><p><b>Responsibilities</b></p><ul><li>Assist clients in buying, selling, and renting residential and commercial properties.</li><li>Identify clients needs and recommend suitable properties.</li><li>Conduct property viewings and provide detailed information about available properties.</li><li>Build and maintain strong relationships with local and international clients.</li><li>Generate leads through networking, referrals, online platforms, and other business development activities.</li><li>Follow up with potential clients and maintain an updated client database.</li><li>Negotiate offers and support clients throughout the transaction process.</li><li>Coordinate with property owners, developers, and other relevant parties.</li><li>Stay updated on market trends, property prices, and available listings.</li><li>Prepare and manage property listings and ensure all information is accurate and up to date.</li><li>Achieve individual and team sales targets.</li><li>Provide a high level of customer service and maintain a professional company image.</li></ul><p>Qualifications and Requirements</p><ul><li>Previous experience as a Real Estate Agent, Sales Executive, or in a similar client-facing role is preferred.</li><li>Experience dealing with international clients and investors is a plus.</li><li>Strong sales, negotiation, and communication skills.</li><li>Excellent command of English; additional languages are an advantage.</li><li>Professional presentation and strong interpersonal skills.</li><li>Ability to work independently and manage multiple clients and opportunities.</li><li>Knowledge of the local real estate market is an advantage.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>We are particularly interested in candidates with an international background or experience working with multicultural and international clients. The successful candidate should be confident, customer-oriented, proactive, and able to communicate effectively with clients from different nationalities and backgrounds.</p>
<p>Recruitment Network is Hiring: Travel Agent</p><p><br></p><p><p><strong>Desired Candidate Profile</strong></p><p><br></p>
<h2 class="h5">Job description</h2>
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<span>Aspire Software is looking for a AI Developer 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: The AI Automation Engineer is responsible for designing, deploying and improving AI agents and agentic workflows that automate routine operational work, augment teams, and improve speed, quality and scalability across the business.<br> This role is not about building disconnected experiments.<br> It is about delivering real workflow change in priority areas, initially focused on Support, Sales, Professional Services and internal operational workflows.<br> The role works closely with functional leaders and frontline teams to identify high value use cases, redesign workflows, deploy safe and useful agents, and ensure adoption in day-to-day operations.<br> The AI Automation Engineer helps shift repetitive, rules based and data intensive work to AI agents, while preserving human ownership of judgment, sensitive customer interactions, escalations, quality assurance, exception handling and continuous knowledge improvement.<br> What you will do Design and deploy AI agents Design and deploy AI agents that support operational work, including support triage, internal workflow automation, sales support, onboarding tasks, knowledge handling, reporting and analysis Build agents and workflows that integrate with CRM, ERP, internal tools, SaaS platforms and APIs Use multi step workflows, tool using agents, decision logic and orchestration patterns where appropriate Move quickly from idea to pilot to production while maintaining clear standards for quality and reliability Design and implement AI agents and workflow automations that support PDLC activities such as requirements drafting, backlog preparation, technical research, code generation, test generation, documentation, defect triage, release support, and post release analysis Identify manual or repetitive PDLC tasks and convert them into scalable AI assisted workflows, including integrations with tools such as Jira, Confluence, GitHub, service platforms, and internal systems Partner with Product, Engineering, QA, Support, and other stakeholders to pilot, refine, and scale agentic PDLC workflows across teams Redesign business workflows Identify high value automation opportunities with functional leaders and operators Redesign workflows so repetitive and rules-based work is handled by AI wherever safe and practical Support the shift to AI first intake, triage, knowledge retrieval, simple response handling and case preparation in service operations Help teams redesign work around a clear human and agent division of labour Help establish safe and scalable standards for AI use across the PDLC, including review points, escalation paths, auditability, fallback handling, and quality controls for AI generated artefacts Governance, quality and evaluation Work within approved tooling standards, data and security guardrails, and design standards for agents and evaluation Establish monitoring, fallback handling, escalation logic, prompt and workflow controls, and human review mechanisms Test workflows with real users and real operational scenarios before scaling Measure agent quality, workflow success, containment, handoff quality and operational value Continuously improve workflows based on usage data, user feedback and service outcomes Adoption and enablement Partner with functional leaders and frontline teams to support rollout and adoption Document new ways of working and help train users on how to work effectively with AI agents Surface workflow risks, resistance points and improvement opportunities Contribute reusable prompts, components, patterns and playbooks to the central AI capability Cross functional delivery Collaborate with Product, Engineering, Support, Sales and Professional Services teams Help prioritise use cases based on measurable business value, feasibility and operational readiness Support the central AI capability with value tracking, reporting and continuous learning across initiatives What success looks like Reduction in manual work and process cycle time Improved support response times and service leverage Workflow success rate and agent task completion quality Ticket containment or deflection where relevant Handoff quality for escalated or human reviewed work User adoption of AI enabled workflows Hours saved and team capacity created Contribution to service, productivity and customer outcomes Reduced manual effort across PDLC activities, faster movement from idea to release, improved quality of delivery artefacts, and stronger adoption of AI enabled workflows across Product and Engineering teams.<br> Proven track record of building products, tools, workflows, automations, startups, or side projects that went live and delivered measurable value Strong working knowledge of AI and machine learning tools, large language models and agent frameworks Experience building AI agents, workflow automations or AI powered internal tools Experience designing or improving workflows across software or product delivery lifecycles, including the use of AI tools, agents, or automations to improve speed, quality, and operational leverage Ability to go from zero to functional prototype quickly Strong systems thinking and comfort working across tools, processes and teams Comfort with ambiguity and the ability to help define the problem as well as the solution Bias toward action, with discipline around quality, evaluation and operational safety Ability to work directly with business stakeholders and translate operational pain points into practical AI solutions Nice to have Experience building AI agents or service automation workflows Experience in hospitality, retail, vertical SaaS, or B2B software environments Experience working across multiple product lines, business units or operational functions Familiarity with support operations, CRM workflows, or Professional Services delivery models Experience with analytics, reporting and operational performance measurement A bachelor’s degree in Artificial Intelligence, Software Engineering, Computer Science, Robotics, Mechanical Engineering or a related discipline</span> </div>
<h2 class="h5">Job description</h2>
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<span>Aspire Software is looking for a AI Automation 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: The AI Automation Engineer is responsible for designing, deploying and improving AI agents and agentic workflows that automate routine operational work, augment teams, and improve speed, quality and scalability across the business.<br> This role is not about building disconnected experiments.<br> It is about delivering real workflow change in priority areas, initially focused on Support, Sales, Professional Services and internal operational workflows.<br> The role works closely with functional leaders and frontline teams to identify high value use cases, redesign workflows, deploy safe and useful agents, and ensure adoption in day-to-day operations.<br> The AI Automation Engineer helps shift repetitive, rules based and data intensive work to AI agents, while preserving human ownership of judgment, sensitive customer interactions, escalations, quality assurance, exception handling and continuous knowledge improvement.<br> What you will do Design and deploy AI agents Design and deploy AI agents that support operational work, including support triage, internal workflow automation, sales support, onboarding tasks, knowledge handling, reporting and analysis Build agents and workflows that integrate with CRM, ERP, internal tools, SaaS platforms and APIs Use multi step workflows, tool using agents, decision logic and orchestration patterns where appropriate Move quickly from idea to pilot to production while maintaining clear standards for quality and reliability Design and implement AI agents and workflow automations that support PDLC activities such as requirements drafting, backlog preparation, technical research, code generation, test generation, documentation, defect triage, release support, and post release analysis Identify manual or repetitive PDLC tasks and convert them into scalable AI assisted workflows, including integrations with tools such as Jira, Confluence, GitHub, service platforms, and internal systems Partner with Product, Engineering, QA, Support, and other stakeholders to pilot, refine, and scale agentic PDLC workflows across teams Redesign business workflows Identify high value automation opportunities with functional leaders and operators Redesign workflows so repetitive and rules-based work is handled by AI wherever safe and practical Support the shift to AI first intake, triage, knowledge retrieval, simple response handling and case preparation in service operations Help teams redesign work around a clear human and agent division of labour Help establish safe and scalable standards for AI use across the PDLC, including review points, escalation paths, auditability, fallback handling, and quality controls for AI generated artefacts Governance, quality and evaluation Work within approved tooling standards, data and security guardrails, and design standards for agents and evaluation Establish monitoring, fallback handling, escalation logic, prompt and workflow controls, and human review mechanisms Test workflows with real users and real operational scenarios before scaling Measure agent quality, workflow success, containment, handoff quality and operational value Continuously improve workflows based on usage data, user feedback and service outcomes Adoption and enablement Partner with functional leaders and frontline teams to support rollout and adoption Document new ways of working and help train users on how to work effectively with AI agents Surface workflow risks, resistance points and improvement opportunities Contribute reusable prompts, components, patterns and playbooks to the central AI capability Cross functional delivery Collaborate with Product, Engineering, Support, Sales and Professional Services teams Help prioritise use cases based on measurable business value, feasibility and operational readiness Support the central AI capability with value tracking, reporting and continuous learning across initiatives What success looks like Reduction in manual work and process cycle time Improved support response times and service leverage Workflow success rate and agent task completion quality Ticket containment or deflection where relevant Handoff quality for escalated or human reviewed work User adoption of AI enabled workflows Hours saved and team capacity created Contribution to service, productivity and customer outcomes Reduced manual effort across PDLC activities, faster movement from idea to release, improved quality of delivery artefacts, and stronger adoption of AI enabled workflows across Product and Engineering teams Proven track record of building products, tools, workflows, automations, startups, or side projects that went live and delivered measurable value Strong working knowledge of AI and machine learning tools, large language models and agent frameworks Experience building AI agents, workflow automations or AI powered internal tools Experience designing or improving workflows across software or product delivery lifecycles, including the use of AI tools, agents, or automations to improve speed, quality, and operational leverage Ability to go from zero to functional prototype quickly Strong systems thinking and comfort working across tools, processes and teams Comfort with ambiguity and the ability to help define the problem as well as the solution Bias toward action, with discipline around quality, evaluation and operational safety Ability to work directly with business stakeholders and translate operational pain points into practical AI solutions Nice to have Experience building AI agents or service automation workflows Experience in hospitality, retail, vertical SaaS, or B2B software environments Experience working across multiple product lines, business units or operational functions Familiarity with support operations, CRM workflows, or Professional Services delivery models Experience with analytics, reporting and operational performance measurement A bachelor’s degree in Artificial Intelligence, Software Engineering, Computer Science, Robotics, Mechanical Engineering or a related discipline</span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Aspire Software is looking for a AI Engineer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> What you'll do: Ship AI features in our PHP/MySQL/React/Node stack with OpenAI API integration Extend our AI chatbot (Astro Core) with new capabilities like data visualization and analysis Help build out our external MCP connector (schema, auth, capabilities) Own prompt engineering as a core product discipline Build token metering, usage tracking, and tiered access controls Contribute to agent architecture: tool access, memory, token pool isolation Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production apps Strong prompt engineering skills (system prompts, function calling, structured outputs) Understanding of token economics and usage-based product design Experience with metered/rate-limited systems or billing integration Solid PHP and MySQL experience — comfortable in an existing production codebase React/Node for frontend features; TypeScript for backend MCP work Nice to have: RAG/vector DB exposure, LangChain/LlamaIndex familiarity, SaaS or ad-tech background, prior work on customer-facing agents.<br></span> </div>
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