Senior AI Engineer (Fintech)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Senior AI Engineer (Fintech): Building AI-powered tools, integrations, and automated workflows to enhance internal company efficiency with an accent on LLM integration and data pipeline automation. Focus on designing scalable AI connectors, implementing MCP integrations, and enabling non-engineering teams to leverage AI safely.
Location: Hybrid (London). Must be based in the UK to attend the office Tuesday-Thursday.
Company
is a fintech unicorn focused on building technology for consumer credit products, including loans, credit cards, and car finance.
What you will do
- Develop AI connectors and integrations for Google Workspace, Slack, Jira, GitHub, Snowflake, and Confluence.
- Build and maintain knowledge base pipelines, MCP integrations, and API connections to power internal AI tooling.
- Support internal teams in creating their own AI-powered data sources and workflows using rapid app builders.
- Contribute to the internal automation platform utilizing AWS Bedrock, n8n, and custom solutions.
- Collaborate with PMs to identify high-leverage opportunities, shipping quickly and iterating based on measurable outcomes.
Requirements
- 4+ years of professional software engineering experience.
- Strong full-stack development skills in Python or TypeScript.
- Experience shipping containerized software to Kubernetes.
- Proven experience building commercial AI tooling using LLMs, embeddings, and AI application patterns.
- Expertise in designing and building robust API integrations.
- Based in London for regular hybrid office attendance.
Nice to have
- Experience with workflow automation tools such as n8n, Zapier, or Make.
- Familiarity with vector databases like Pinecone, Weaviate, or pgvector.
- Experience with AWS Bedrock or other LLM provider APIs.
- Frontend development skills using Next.js or React for internal tooling.
Culture & Benefits
- Hybrid work model with WFH options every Monday and Friday.
- Fresh, healthy lunches prepared by in-house chefs in the office (Tue-Thu).
- Comprehensive private health insurance coverage.
- Competitive compensation package including equity.
- Inclusive and open workspace environment in the heart of London.
Hiring process
- Screening call with the Hiring Manager.
- Technical interview focused on a theoretical task.
- Interview with the Product Manager.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β