AI Product Engineer

Opportunity

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.