Artificial Intelligence Engineer

🚀 AI Engineer – Agentic Systems / Applied AI 🚀 ✨ Backed Series A FinTech | Proven, repeat founders ✨

📍 London, in office full time 💸 £100k – £200k base (level dependent) 💲 ~$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: 🔥 Ownership comes early ⚡ Decisions happen quickly 🧠 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)

Background requred: – 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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