AI Applications Specialist

We’re working with a fast-moving deep-tech company building category-defining hardware in one of the largest industrial sectors in the world. To move faster than anyone else, they are aggressively integrating AI across every layer of the business, from engineering and finance to operations and outreach. They need a highly technical, systems-minded operator who lives and breathes AI tools and knows how to deploy them at scale inside a real company. This is not a “prompt engineer” role. This is about building real systems that drive leverage across the business. Responsibilities of the role:

• Deploy AI systems across the company, building and managing agent workflows with tools like Claude Code, Codex and similar, and automating internal processes across engineering, finance, operations and outreach.
• Build agent-driven infrastructure, designing multi-agent systems that execute end-to-end (research, modelling, outreach) and managing local and distributed compute (e.g. Mac Mini clusters).
• Own the automation stack, implementing workflows with Clay, n8n, OpenClaw and similar, and integrating APIs, databases and internal tools into cohesive systems.
• Drive internal leverage, identify bottlenecks, and eliminate them using AI, so small teams can operate like much larger ones.

• Deep hands-on experience with Claude Code, OpenAI Codex (or similar), Clay, n8n, and OpenClaw (or equivalent agent frameworks).
• A proven track record of building real AI systems (not just demos), deploying multi-step automated workflows, and running agents in production.
• Strong technical ability. Comfortable with APIs, scripting and system design, and able to debug and iterate quickly.
• Graduate or early-career, ideally from a top university (Oxford, Cambridge, MIT, Imperial, or similar) with a background in Mathematics, Computer Science, Physics, Engineering or related.

• Exceptionally sharp, fast-moving, intellectually curious. You use AI tools every day and push them to their limits. Ideally with experience building:

• autonomous research agents that gather, synthesise and structure data at scale
• fully automated outbound pipelines (sourcing, enrichment, messaging, follow-up)