At a Glance
- Tasks: Design and implement AI systems that automate critical banking workflows.
- Company: Fast-growing fintech company revolutionising customer interactions with AI.
- Benefits: Competitive salary up to £130k, backed by top VCs, and impactful work.
- Other info: Dynamic role with opportunities for rapid career growth in a high-stakes environment.
- Why this job: Join a team shaping the future of finance with cutting-edge AI technology.
- Qualifications: Experience in building AI infrastructure and strong skills in Node and TypeScript.
The predicted salary is between 117000 - 143000 £ per year.
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.
Responsibilities:
- 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.
Requirements:
- 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.
Conditions:
- 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.
ai engineer in fintech in London employer: Enfint
AJ Bell is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have the opportunity to mentor junior designers while working on impactful design systems that prioritise accessibility and usability. Enjoy a supportive environment that values proactive communication and offers unique benefits tailored to enhance your professional journey.
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We think you need these skills to ace ai engineer in fintech in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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