AI Product Engineer

We are partnering with a major government entity in Abu Dhabi that is building next-generation AI products and platforms to support large-scale digital transformation across the public sector.

This role sits within a central AI function responsible for developing production-grade AI applications, combining applied AI engineering, product thinking, and full-stack software development.

This is an excellent opportunity for a hands‑on engineer who can own AI-powered products end-to‑end, from RAG pipelines and agent workflows through to APIs and user-facing interfaces.

• Design and build end-to-end AI-powered product features, including assistants, copilots, knowledge tools, and automation workflows
• Develop RAG pipelines covering document ingestion, vector search, embedding models, reranking, and retrieval quality evaluation
• Build and integrate agent-based AI workflows capable of multi-step reasoning, tool use, and planning
• Create user-facing interfaces using React, including conversational UIs, streaming responses, real-time feedback, and error handling
• Design and build backend services and APIs in Python or Java to expose AI capabilities to products and platforms
• Work with Postgre
  
  SQL to support AI product features, evaluation pipelines, and operational analytics
• Define evaluation frameworks, quality metrics, and monitoring approaches to measure AI behaviour and detect regressions
• Translate ambiguous product and operational requirements into well-scoped engineering problems with measurable outcomes
• Build reusable components, API patterns, and AI integration libraries that enable scalable adoption across multiple entities

• 5+ years of software engineering experience, with a strong track record of building and shipping production systems
• Proven ability to own product features end-to-end across AI backend, API layer, and user interface
• Strong Python experience, ideally building LLM-powered systems, AI pipelines, and backend services
• Solid React experience, including component architecture, state management, performance optimisation, and responsive UI development
• Experience building production-grade backend APIs using Python or Java, with strong understanding of reliability, authentication, error handling, and scalability
• Working proficiency with Postgre
  
  SQL, including schema design, query optimisation, and data modelling
• Strong understanding of the practical challenges of deploying LLMs in production, including hallucination, latency, context degradation, and calibration
• Experience with RAG systems, agentic AI workflows, LLM evaluation, or AI product monitoring is highly desirable
• Exposure to tools and frameworks such as Lang Chain, Lang Graph, vector databases, Docker, cloud platforms, and CI/CD pipelines would be advantageous
• Strong product mindset, clear communication skills, and the ability to make evidence-based technical decisions