Do you want to build a predictive AI platform that surfaces opportunities before clients even know they exist?
Have you led end-to-end delivery of LLM/RAG/agentic systems in production?
Ready to become the technical owner of an intelligence engine at an early-stage startup?
A high-growth AI/FinTech startup is building a predictive intelligence platform for financial institutions. Their system connects external market events, client risks and revenue opportunities through real-time agentic AI. Backed by senior ex-consulting and enterprise technology leaders, they’ve already built a functioning MVP and are now hiring their first in-house Lead AI Engineer to take ownership of the core intelligence layer.
You’ll work directly with the CTO, shaping the architecture, roadmap and long-term AI strategy. This role suits a builder who wants ownership, deep technical scope and the chance to define the product from the ground up.
The Lead AI Engineer will architect and productionise advanced LLM/RAG systems, design agentic workflows, own evaluations and guardrails, and integrate AI modules into a scalable enterprise-grade platform. You’ll collaborate with domain experts from corporate and investment banking, helping turn market foresight into actionable intelligence.
Key responsibilities
• Design and deploy RAG pipelines, agentic workflows and LLM-based intelligence modules
• Build Python-based AI components, APIs and microservices
• Own evaluation frameworks, observability, guardrails and model governance
• Integrate AI systems into production environments and enterprise workflows
• Work closely with the CTO and guide junior/external engineers
• Translate financial-services use cases into practical AI features
Key details
• Working model: Hybrid (3 days/week, Central London)
• Tech: Python, LLMs, RAG, agentic systems, vector stores, cloud
• Visa: Cannot sponsor
Interested? Please apply below.