Senior AI Software Engineer

• 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

• 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.

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., 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. #J-18808-Ljbffr