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описание
The company builds and licenses AI agents that automate critical customer lifecycle workflows for major financial institutions. It operates agentic systems in production for complex, high-stakes banking processes and is scaling rapidly with significant traction.
задачи
Design and implement agent reliability infrastructure, including evals, feedback loops, prompt engineering, and fallbacks;
Build and maintain human-in-the-loop decision logic for high-stakes agent actions;
Own proprietary supervised and self-supervised ML models and apply recent academic work pragmatically;
Contribute across the full agentic and software stack, including Node and TypeScript;
Shape the evolving data strategy for production AI agents.
требования
Production experience building and maintaining agentic or LLM infrastructure, including evals, feedback loops, prompt engineering, fallbacks, and human-in-the-loop decision logic;
Pragmatic ML foundation across supervised and self-supervised methods;
Product-leaning and full-stack mindset;
Comfort contributing to a Node and TypeScript software stack;
Strong system design capabilities;
Proven adaptability in a technical assessment, such as TypeScript;
Ability to execute at pace and own a defined area while data strategy evolves;
Nice to have: recent academic work in ML.
условия
Compensation up to £130k;
The company is backed by leading VCs;
The role involves working on high-impact production AI systems for major financial institutions.
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