AI Product Engineer
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About the Role
AI Product Engineer - Abu Dhabi Discover the 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.
Key Skills for This Role
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Ai Product Engineer - Abu Dhabi
- Discover the 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.
- Discover the Responsibilities:
- 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 PostgreSQL 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
- Discover the Requirements:
- 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 PostgreSQL, 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 LangChain, LangGraph, 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
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