Senior AI Software Engineer

Neulinx — United Kingdom · Posted ~22 hours ago

Senior Full-time Hybrid

Skills

AI engineering Python AI agents RAG API development MCP AI Agents APIs

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Summary ✨ AI‑Generated

A senior AI engineering position focused on creating intelligent platforms, agent-based workflows, retrieval systems, and reliable AI infrastructure. The role involves taking AI projects from concept through deployment.

Highlights

Build reusable AI capabilities, modern AI infrastructure, and production-grade intelligent systems with ownership across the development lifecycle.

Description

Senior AI Software Engineer London – Hybrid Neulinx have partnered with a highly successful global technology company to hire a Senior AI Software Engineer into its growing AI Engineering team. This is a hands-on role focused on building the platforms, infrastructure and reusable capabilities that enable AI adoption across both internal teams and customer-facing products. You’ll work on modern AI engineering challenges including AI agents, MCP, RAG, evaluation frameworks and guardrails, while taking ownership of projects from initial requirements through to deployment and production. What you’ll be working on Building reusable AI capabilities, tools, APIs and platformsDeveloping and maintaining an internal MCP server, securely connecting company data with AI agentsBuilding agentic AI workflows and infrastructure for autonomous and interactive agentsDesigning AI evaluation frameworks and guardrails to improve reliability and safetyBuilding and optimising RAG systemsTaking projects end-to-end, from requirements gathering through development, deployment and operationWorking closely with engineering and product teams to accelerate AI adoption across the businessHelping establish best practices around AI engineering and productionisation What we’re looking for 5+ years’ software engineering experience, with a strong backend/server-side backgroundExperience building scalable, production-grade systemsStrong programming skills – Python preferred, although other backend languages are consideredHands-on experience with LLMs and Generative AIExperience with areas such as AI agents, RAG, MCP, evals, AI workflows or agentic frameworksExperience taking software projects from concept through to productionCloud experience across AWS, GCP or AzureComfortable using modern AI development tools such as Claude Code, Cursor, GitHub Copilot or similarStrong communication skills and the ability to work with both technical and non-technical stakeholders You don’t need to have spent your entire career working in AI. We’re particularly interested in strong software engineers who have moved into AI engineering and can combine solid engineering fundamentals with practical experience shipping AI-powered products. The opportunity You’ll be joining an established global technology business where AI is becoming a fundamental part of both the product and the wider engineering organisation. Rather than working on isolated proof-of-concepts, you’ll be helping build the AI infrastructure and engineering foundations that other teams will use at scale. Interested? Upload your CV to apply, or reach out directly to Gareth at Neulinx for a confidential conversation and more information about the opportunity.