AI Harness Engineer

AI Harness Engineer | Agentic Infrastructure | Manchester hybrid

I’m working with a team building the infrastructure behind autonomous AI agents and they’re looking for an AI Harness Engineer to help take this from prototype into production.

You’ll be building the harness around AI models, the infrastructure, guardrails, tooling and runtime environments that make autonomous agents secure, reliable and scalable in an enterprise environment.

What you’ll be working on:

• Building secure, sandboxed environments for AI agents to execute code
• Designing guardrails around agent behaviour, including input/output filtering and prompt injection protection
• Building tool orchestration and validation layers between LLMs and external systems
• Developing verification and self-correction loops around runtime and tool failures
• Designing human-in-the-loop checkpoints for higher-risk autonomous actions
• Making sure agent infrastructure is scalable, resilient and secure

What I’m looking for:

• Strong software engineering or AI infrastructure background
• Experience with Docker / Kubernetes and ideally WASM or micro-VMs
• Strong API integration and systems engineering experience
• A good understanding of LLMs / generative AI / agentic systems
• A security-first mindset, particularly around prompt injection, data exfiltration and runtime security
• Someone who enjoys taking non-deterministic systems and building reliable engineering frameworks around them

You don’t need to have trained LLMs. I’m much more interested in someone who understands how to build the infrastructure around them and make them work safely at scale.

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