Company Description
High-growth consumer fintech platform
Job Description
As a hands‑on AI Engineer in the Internal Automation team, you will build AI-powered tools and automated workflows to supercharge efficiency across finance, compliance, and product departments. You will own the end-to-end lifecycle of integrations and LLM-based solutions, shipping high‑impact software that eliminates manual friction and provides immediate value to colleagues.
Location
London, UK
Why this role is remarkable
* Ship AI integrations on Monday and see them saving teams hours of manual work by Friday, offering immediate and visible impact.
* Work at the frontier of AI tooling, experimenting with LLMs, agentic workflows, and the Model Context Protocol (MCP) in a production environment.
* Join a small, high‑leverage team within a well‑funded fintech where you have full ownership from problem discovery through to implementation.
What you will do
* Build and maintain knowledge base pipelines and connectors for systems like Slack, Snowflake, and Jira to power internal AI tooling.
* Create templates, guardrails, and building blocks that enable non‑engineers to safely build their own AI‑powered data sources and workflows.
* Partner with the PM and Engineering Lead to identify high‑leverage automation opportunities and iterate quickly based on adoption metrics.
The ideal candidate
* 4+ years of software engineering experience with strong full‑stack proficiency in Python or TypeScript and containerized deployments via Kubernetes.
* Proven track record of shipping commercial AI tooling and a deep comfort level with LLMs, embeddings, and modern AI application patterns.
* A self‑starter mindset motivated by tangible impact, with the ability to design, build, and monitor solutions from the ground up.
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