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# Senior AI Software Engineer

- **Company:** Ocho People
- **Location:** Belfast, United Kingdom
- **Experience:** Expert
- **Salary:** £65,000 - £75,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Code Review, Distributed Systems, Graph Database, Python (Programming Language), Neo4j, AI Infrastructure, Evaluation Pipelines, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Backend, Agentic-AI, SC Clearance, Build Management, AI Platforms, Evaluation of Large Language Models, Golang, Microservices
- **Published:** November 10, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5959649056

## About the Role

5+ years building production backend systems

 - Strong in Java or Go, plus working Python
 - Hands-on experience integrating large language models into production software
 - Solid cloud experience, ideally AWS
 - Comfortable with distributed systems and microservice architectures
 - Eligible for UK security clearance

Desirable / Nice to Have:

 - Neo4j or another graph database in production
 - Experience with agent frameworks or LLM evaluation tooling

## Description

Senior backend role building the core of an AI operating system

 - Java, Go and Python across LLM integration, agent orchestration and retrieval infrastructure
 - AWS, Neo4j, distributed systems at real scale
 - Platform already live and in daily operational use with major customers
 - Share options and an engineering culture built around AI tooling

About the Company
My client is a UK technology company building an AI operating and orchestration layer that puts intelligent systems to work inside large, complex organisations where accuracy and accountability really matter. The platform is already live and in daily operational use with major customers. The engineering group is small, senior and unusually fast moving, with AI tooling built into how the team genuinely works rather than bolted on afterwards.

The Role
This is core platform engineering rather than model research. You will build the services that make AI usable at scale: orchestration layers, retrieval infrastructure, evaluation pipelines and the plumbing that keeps it all reliable in constrained environments. The codebase is modern, the team is senior, and there is very little between deciding something and shipping it. It suits an engineer who wants to build AI infrastructure properly rather than assemble it from tutorials.

Key Responsibilities

 - Design and build core backend services underpinning the AI platform
 - Build and maintain LLM integration and agent orchestration layers
 - Develop retrieval infrastructure across graph and vector stores
 - Own performance, reliability and observability of the services you build
 - Deploy and operate services on AWS
 - Build automated evaluation into the delivery pipeline
 - Review code and raise the technical bar across the team
 - Mentor mid-level engineers as the team grows