Summary
✨ AI‑Generated
Take founding-level ownership of an agent platform at an early-stage AI company. You will lead orchestration, evaluation, and reliability engineering, turning model calls into dependable product capabilities. The role offers substantial technical ownership and equity while solving challenging problems in regulated enterprise environments.
Highlights
Founding-level ownership of an AI agent platform, with significant technical autonomy, equity participation, and the opportunity to build reliable agent systems for highly regulated enterprise environments.
Description
This is a role that TechTree is recruiting for on behalf of one of our clients.
TechTree is an AI-driven recruitment platform working with high-growth companies.
When you apply, our AI Agent matches you not just to this role, but to other relevant opportunities across our network, so one application can unlock multiple roles.
Founding Engineer, Agent Systems — Own the agent platform at a seed-stage AI risk company.
London, on-site.
Pre-Series A equity.
A seed-stage company is building agent-native risk infrastructure for enterprises in financial services, regulated technology, and healthcare.
Seven-figure revenue within months of launch.
Founders from Palantir, Oxford, Stanford, and ETH.
Backed by angels from Meta, Isomorphic Labs, Palantir, and SpaceX.
You own the agent platform: orchestration, evals, and reliability work that turns model calls into product features customers trust.
The bar isn’t that the demo works — it’s that a domain expert considers the agent’s output at the level of a peer.
What You’ll Do
→ Agent scaffolding — tool use, context management, sandboxing, prompt-injection defence
→ Evals for fuzzy, high-stakes outputs — assessments, policy interpretation, control mapping
→ Reliability infrastructure — retries, fallbacks, circuit breakers, prompt versioning
→ Set the internal standard for what “good enough to ship” means for AI features
What We’re Looking For
→ Backend engineering in TypeScript (or comparable), with 1–2+ years shipping production LLM features
→ Agent frameworks, tool calling, and multi-step orchestration
→ Production evals: dataset curation, LLM-as-judge failure modes, regression testing under model swaps
→ Strong systems thinking: async, queues, idempotency
→ Comfort being the named owner of AI quality, including saying no when needed
→ King’s Cross, London — in-person by default
Bonus: Anthropic/OpenAI APIs in production at scale
prompt-injection or agent-security work compliance, audit, or fuzzy-correctness domain background
Offers: top decile London market comp + meaningful EMI-eligible equity
paid on-site work trial serious AI tooling and API budgets
What is TechTree?
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Our AI Agent gets to know your background, experience, and what you’re optimising for.
It continuously matches you to live roles across our network where there’s genuine alignment, not just keyword overlap.
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