Job Description - Senior AI Product Engineer - Abu Dhabi
About the Opportunity
We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs.
This organisation is creating AI-powered products and platforms that will transform public services across the Emirate. The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.
This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.
Role Overview
We are looking for a Senior AI Product Engineer to own the end-to-end delivery of AI-powered products.
You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users. This role combines applied AI engineering with strong product judgment.
You should be comfortable working across the full stack—from Python-based AI systems and APIs to React frontends—and accountable for how your products perform in production.
At the senior level, you will:
Own AI product features from concept through production
Build and optimize RAG pipelines and agent-based systems
Develop backend services and modern user interfaces
Make sound technical and product decisions
Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow
Key Responsibilities
End-to-End AI Product Development
Design and build AI-powered assistants, copilots, and automation tools
Architect Retrieval-Augmented Generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking
Develop agent-based workflows with tool use, planning, and multi-step reasoning
Build reusable AI components and integration libraries for multiple products
Full-Stack Engineering
Build React and Next.js interfaces with streaming responses and conversational experiences
Develop backend APIs and services in Python, Java/Kotlin, or Node.js
Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant
Instrument AI systems using Langfuse and Grafana for tracing and observability
Product Ownership & Engineering Excellence
Evaluate product requirements and ensure solutions solve the right problems
Optimize systems for reliability, latency, and user trust
Document technical decisions and architecture clearly
Mentor engineers and contribute to engineering best practices
Basic Qualifications
7+ years of software engineering experience
Proven experience shipping end-to-end product features across AI, backend, and frontend layers
Strong proficiency in Python and experience building LLM-powered systems
Solid React fundamentals, including state management, accessibility, and performance
Experience building production APIs in Python, Java/Kotlin, or Node.js
Working knowledge of PostgreSQL and relational schema design
Understanding of common LLM production challenges such as hallucination, latency, and context degradation
Practical use of AI coding assistants such as Codex or Claude Code
Strong system design, testing, debugging, and performance optimization skills
Preferred Qualifications
Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI
Experience designing streaming APIs with SSE or WebSockets
Strong familiarity with Next.js, Tailwind CSS, TanStack Query, and Zustand
Experience deploying AI applications on Azure using Docker and CI/CD pipelines
Familiarity with vector databases such as Qdrant or pgvector
Experience working in government, public sector, financial services, or other regulated environments
Technology Stack
Frontend: React, Next.js, Tailwind CSS
Backend: Python, Java, Kotlin, Node.js
AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS
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