🚀 AI Engineer – Agentic Systems / Applied AI 🚀
✨ Backed Series A FinTech | Proven, repeat founders ✨
đź“Ť London, in office full time
💸 £100k – £200k base (level dependent)
đź’˛ ~$160k equity vested over 4 years
đź’— 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:
âś… High talent bar across the team
âś… 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