Principal AI Engineer

I'm representing a well-funded AI startup in Central London building a next-generation enterprise AI platform, bringing people, autonomous agents and business-critical systems together.

We're looking for a Principal AI Engineer who wants to go beyond LLM integrations and take genuine ownership of the architecture behind production-grade autonomous agents.

Building an AI agent that works is relatively easy. Building one you can trust to operate autonomously, securely and reliably across an enterprise? That's an entirely different engineering challenge.

• A very attractive package including equity , with the opportunity to join a business with genuine unicorn ambitions.

The key skills we're looking for:

• Agentic AI: Production LLM systems, Python, LangGraph, agent orchestration and tool calling.
• Evaluation & reliability: Agent trajectory evaluations, error analysis, retrieval and generation quality, and production monitoring.
• Systems engineering: TypeScript, Python, PostgreSQL, queues and Google Cloud infrastructure.
• LLM optimisation: Experience across multiple model providers, balancing quality, inference costs and latency.
• Agent security: Sandboxed execution, permissions, tool integrations and human-in-the-loop approvals.

Why this opportunity stands apart:

You'll work directly with the CTO and founding team, own critical architectural decisions and help build and mentor an exceptional AI engineering team.

This isn't about inheriting somebody else's architecture. It's about defining what the architecture should become.

Central London | Principal AI Engineer

If you're an engineer who gets more excited about solving the difficult problems behind AI than the hype surrounding it, I'd welcome a confidential conversation.

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