London, in office full time
$~160k equity vested over 4 years
Extras: onsite chef, barber, breakfast, gym membership
I’m partnering with a high-growth, AI-native fintech that has recently closed a significant Series A and is now building out a top-tier AI engineering function.
They’re focused on developing production-ready agentic AI systems for the investment and financial services markets, designed to handle complex, high-impact workflows for enterprise customers.
You’ll be working closely with founders and a small, high-calibre engineering team.
This is the kind of environment where:
Strong engineers thrive
What you’ll be doing:
You’ll take responsibility for key parts of the AI stack, including:
* Architecting and deploying multi-agent systems
* Building scalable RAG pipelines and retrieval systems
* Creating evaluation frameworks (performance, safety, reliability)
* Shipping AI-driven products used in real-world enterprise settings
* Alongside this, you’ll stay close to the engineering fundamentals — Python backend (FastAPI/Django), infrastructure, and production deployment.
Why people join environments like this:
* High talent bar across the team
* Direct access to founders and decision-makers
* Pace and exposure that accelerates your trajectory (12 months here won’t feel like a typical year)
Requirements:
* Degree in a relevant discipline (Maths, Engineering, Computer Science, etc.)
* ~4+ years in AI/ML engineering, or strong software engineering with AI exposure
* Experience taking LLM or agent-based systems into production
* Strong understanding of system design: orchestration, memory, deployment, monitoring
* Exposure to tools such as LangGraph, ReAct, CoT — or building similar systems from scratch
* Familiar with PyTorch / TensorFlow, RAG architectures, vector databases, modern cloud infra
* Experience in startup or consulting environments is a plus
* Comfortable working autonomously in fast-moving, sometimes ambiguous settings
With fresh funding and ambitious growth plans, this is a genuine scaling moment — and a chance to step into something high-impact early.
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