Senior Backend Engineer (AI Agents)
Summary
Senior backend engineer building the production infrastructure that powers AI agents for a sovereign UAE AI company's defence programme: 'Agent of Agents' orchestration, secure API gateways, and integrations linking LLMs to SAP S/4HANA/Ariba and engineering data. Core stack: Python (FastAPI/Django), Go or Java, Docker/Kubernetes, on-prem/air-gapped deployment.
About the opportunity
We’re partnered with a leading sovereign AI company in the UAE, delivering a flagship AI transformation within defense.
This is a rare backend role at the heart of enterprise AI. You’ll build the “nervous system” that powers AI agents in production: the orchestration layers, secure API gateways and integrations that connect Large Language Models (LLMs) to industrial ERPs and sensitive engineering data. Production systems, not demos.
You’re not just building APIs; you’re building the “hands” that let AI do real work.
What you’ll do
- Architect the “Agent of Agents” orchestration layer that coordinates specialised AI agents, managing state, task routing and error handling
- Build the task router and intent classifier services that map requests to skills and playbooks, with deterministic execution for critical financial and engineering workflows
- Design scalable, containerised microservices for high-concurrency, low-latency workloads
- Build the secure Data Access Layer that lets AI agents read from and write to SAP S/4HANA and Ariba, with strict validation before any transaction is committed
- Connect agents to vector databases, retrieval models and external data feeds, handling caching, rate limiting and normalisation
- Implement gateway and policy services that enforce authentication, RBAC and PII redaction before data ever reaches an LLM
- Engineer for on-premise and air-gapped deployment, with full logging, tracing and observability
What we’re looking for
- 5+ years in backend engineering, building distributed systems or platforms that serve AI/ML in production
- Expert Python (FastAPI or Django) and Go or Java for high-performance services
- Strong Docker and Kubernetes experience, ideally in on-premise environments
- RESTful and gRPC API design; experience with API gateways (Kong, NGINX)
- Experience building high-availability, auditable systems, ideally in fintech, healthcare or defence
Background we love (not required, but a strong signal)
Hands-on work with AI agents, LLM orchestration or MCP; ERP integration (SAP, OData, SOAP); or delivering in regulated, structured environments.
How the team works
- An elite team of engineers from FAANG and frontier AI labs
- What matters is what you ship, not the hours you spend
- Low ego, high standards. The best idea wins, whoever it comes from
- Rigorous engineering, delivered at startup pace
The setup
- Competitive rates
- Onboarding in the coming weeks
Why this role?
Your code will enable AI agents to forecast critical supply shortages, validate the safety of engineering designs, and automate high-stakes financial workflows.
You’ll be one of the few engineers in the world defining how Large Language Models connect to the industrial core of a defence prime, turning static systems of record into dynamic systems of intelligence. If you want to build the secure, high-performance architecture that makes AI tangible, this is the role.
