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Title: Senior Full-Stack Engineer (AI Agent Platforms) Location: Abu Dhabi, UAE (onsite) Why this role Build both the face and the nervous system of an AI workforce for a flagship Defence AI Transformation programme. End-to-end ownership: from the streaming chat UI right down to the secure gateway that lets AI agents read and write to SAP. Production work in a secure, on-premise environment, not demos or prototypes. About the client Our client is a leading UAE sovereign AI company, partnered with a major national defence group. They build secure, enterprise-grade AI agents that automate critical finance, supply chain and engineering workflows for that group. The role You’ll be a technical anchor for the programme’s build workstream, designing and shipping full-stack applications that power an engineering intelligence platform and a fleet of autonomous enterprise agents. You’ll work within a structured Stage Gate delivery model, to the usability, security and reliability standards that national defence infrastructure requires. Build AI interfaces people want to use: React/Next.js applications with streaming LLM responses, rich citations and interactive widgets. Orchestrate the agents: design the backend “agent of agents” layer that coordinates specialised finance and operations agents. It manages state, task routing and error handling. Make workflows deterministic: build task-router services and frontend state management that map user prompts to defined skills and playbooks. Connect AI to the enterprise core: build a secure Data Access Layer so agents can read from and write to SAP. Surface that data through dynamic dashboards and visualisations. Power knowledge search: build RAG backends over vector databases (Weaviate) and the search UI that renders internal knowledge and technical documents. Integrate external data: build connectors to third-party market and supplier data for supply chain risk scoring, plus custom UI components for comparative analysis. Secure the full stack: authentication, RBAC and sensitive-data redaction on the backend. XSS and CSRF protection on the frontend. Engineer for on-prem: secure on-premise deployment, with optimised bundles and efficient use of constrained infrastructure. Own reliability: end-to-end observability across frontend error tracking, logging, tracing and monitoring. What you’ll bring 5+ years in full-stack engineering, including web applications that serve ML/AI in production. Expert TypeScript/JavaScript with React or Next.js. Complex state management and real-time streaming (WebSockets/SSE). Expert Python (FastAPI/Django), plus Node.js, Go or Java for high-performance services. REST and gRPC API design. Experience with API gateways (Kong, NGINX). PostgreSQL and vector databases (Weaviate, Milvus). Docker and Kubernetes in on-premise environments. A track record on mission-critical, auditable systems, ideally in fintech, healthcare or defence. Comfort shipping Agile sprints that pass rigorous Stage Gate and systems-engineering reviews. Strong pluses ERP integration (SAP, OData, SOAP). Building chat or agent UIs on top of LLMs. Regulated or high-security deployments. Why join You’re not just building APIs or interfaces. You’re building the hands and the face of an AI workforce: the dashboards and the secure logic that let agents forecast critical supply shortages and validate the safety of engineering designs. If you want to build secure, high-performance, deeply interactive architecture that makes AI tangible, this is the seat. Interested? Apply below or message me directly for a confidential conversation.