Applied AI Engineer

The Opportunity ember is building a full-stack operating platform that strengthens how the business works: bringing together the applications, workflows, integrations and data foundations that support exceptional travel and experiences, while improving the productivity, efficiency and decision-making of the team. Intelligence is woven into the product rather than added as a separate tool. As an Applied AI Engineer, you will be a key hands-on contributor to this build, working within the platform architecture and technical roadmap established by the Senior Applied AI Engineer. You will help turn modern AI capabilities and well-designed software into reliable internal products that make the team faster, better informed and more connected. What You'll Do Full-Stack Product Features Build and improve the user-facing and backend features of ember's operating platform. Work across application interfaces, APIs, services and data flows to turn real operational needs into straightforward, dependable software. AI Features & Knowledge Workflows Build and improve AI-powered features that help ember's team find, understand and use institutional knowledge. Develop retrieval and RAG workflows across client, supplier, journey and operational information, with clear source attribution. Data & Integrations Create ingestion and processing pipelines for structured and unstructured information. Connect internal and third-party systems through APIs and webhooks, helping turn fragmented information into useful, well-organised data. Useful Internal Tools Develop internal tools that support client profiling, journey planning, supplier research and matching, proposal and dossier generation, sourcing and operational recommendations. Build backend services, databases and APIs that make these capabilities dependable. Reliability & Safeguards Help test and evaluate AI outputs for accuracy, reliability and usefulness. Implement appropriate authentication, permissions, logging and safeguards for sensitive information. Collaboration Work within the architecture and roadmap established by the Senior Applied AI Engineer. Build defined features, integrations and AI workflows; test, debug, document and improve existing systems; and escalate major architectural, infrastructure or security decisions to the Senior Engineer. Collaborate closely with ember's internal team to translate operational needs into working software. The Details

Location

Abu Dhabi (Hybrid) Contract Type: Full-time, fixed-term contract Contract Duration: 6 months Candidate Eligibility: Open to candidates currently based outside the UAE. The role is based in Abu Dhabi (hybrid); relocation and visa arrangements, where applicable, will be discussed with shortlisted candidates. Start Date: As soon as possible

Desired Candidate Profile

You are a thoughtful, hands-on builder who enjoys the practical side of AI: creating products that solve real problems rather than demonstrations that stop at the prototype stage. You are curious, resourceful and comfortable working across software, data and product detail. You care about getting the details right. You test your work, ask good questions and take pride in making complex systems feel simple and dependable for their users. You are comfortable in a fast-moving environment where the best solution becomes clearer through close collaboration and real-world use. What You'll Need Essential: 3 5 years of professional software engineering experience, with exposure to AI-powered applications Experience using LLM APIs and an understanding of RAG, embeddings, semantic search and vector databases Strong full-stack development skills in Python and/or TypeScript Experience building user-facing applications, APIs and database-backed services Comfort integrating third-party systems through APIs and webhooks Strong debugging, communication and problem-solving skills Preferred: Experience working in travel, hospitality, luxury lifestyle, concierge, CRM or travel-technology environments Document extraction, classification or other unstructured-data workflows Cloud platforms, serverless infrastructure or LLM evaluation and monitoring Experience with internal business applications, CRM systems or travel technology