Senior AI Software Engineer

Neulinx; Greater London; On-site; GBP 100,000 - 140,000; Full time

Job summary

Neulinx has partnered with a global technology leader to hire a Senior AI Software Engineer into its AI Engineering team. The role focuses on building platforms, infrastructure and reusable capabilities enabling AI adoption across internal teams and customer products.

You’ll work on modern AI engineering challenges including AI agents, MCP, RAG, evaluation frameworks and guardrails, taking ownership from requirements through deployment.

Qualifications

• 5+ years software engineering experience.
• Strong backend/server-side background.
• Experience with Python and production-grade systems.
• Hands-on experience with LLMs and Generative AI.
• Experience with AI agents, RAG, MCP, evals or AI workflows.
• Cloud experience across AWS, GCP or Azure.
• Strong communication skills with stakeholders.

Responsibilities

• Build reusable AI capabilities, tools, APIs and platforms.
• Develop and maintain an internal MCP server, securely connecting company data with AI agents.
• Build agentic AI workflows and infrastructure for autonomous and interactive agents.
• Design AI evaluation frameworks and guardrails to improve reliability and safety.
• Build and optimise RAG systems.
• Take projects end-to-end, from requirements gathering through development, deployment and operation.
• Work closely with engineering and product teams to accelerate AI adoption across the business.
• Help establish best practices around AI engineering and productionisation.

Skills

Backend engineering

Python

LLMs / Generative AI

AI agents

RAG systems

Cloud platforms

Communication

Production-grade systems

Tools

Claude Code

Cursor

GitHub Copilot

Job description

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 platforms
• Developing and maintaining an internal MCP server, securely connecting company data with AI agents
• Building agentic AI workflows and infrastructure for autonomous and interactive agents
• Designing AI evaluation frameworks and guardrails to improve reliability and safety
• Building and optimising RAG systems
• Taking projects end-to-end, from requirements gathering through development, deployment and operation
• Working closely with engineering and product teams to accelerate AI adoption across the business
• Helping establish best practices around AI engineering and productionisation

What we’re looking for

• 5+ years’ software engineering experience, with a strong backend/server-side background
• Experience building scalable, production-grade systems
• Strong programming skills – Python preferred, although other backend languages are considered
• Hands-on experience with LLMs and Generative AI
• Experience with areas such as AI agents, RAG, MCP, evals, AI workflows or agentic frameworks
• Experience taking software projects from concept through to production
• Cloud experience across AWS, GCP or Azure
• Comfortable using modern AI development tools such as Claude Code, Cursor, GitHub Copilot or similar
• Strong 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 theAI infrastructure and engineering foundations that other teams will use at scale.