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.

#AgenticAI #AIEngineering #AIJobs