Senior Full Stack Engineer

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.

What you’ll do

• 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 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.
• ERP integration (SAP, OData, SOAP).
• Building chat or agent UIs on top of LLMs.
• Regulated or high-security deployments.

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?