Senior AI Engineer (Internal Automations)

We are looking for a hands-on AI Engineer to join our Internal Automation team at Lendable and help us make the whole company more efficient. Our mission is to supercharge internal teams — from Finance and Compliance to Product, QA and beyond — by building AI-powered tools, integrations and automated workflows. You will be part of a small team (4 engineers, 1 PM) with a simple goal: remove friction, automate the tedious, and give colleagues back time to focus on high-value work.

This is a role where you will see the direct impact of what you build. You will ship an integration and watch it save hours of manual work. You will build a tool and see a team adopt it the same week. If you are motivated by solving real problems and seeing your work make a tangible difference, this is for you. You will also be working at the frontier of AI tooling — building with LLMs, experimenting with new approaches, and figuring out what’s possible.

What you will be doing

• Build AI integrations and data sources
  • Create connectors and integrations that make company data available to AI systems (Google Workspace, Slack, Jira, GitHub, Snowflake, Confluence and more)
  • Build and maintain knowledge base pipelines, MCP integrations and API connections that power AI tooling across the business
  • Work with security and data governance requirements to ensure integrations are safe and appropriate
• Enable others to build with AI
  • Support internal teams to create their own AI-powered data sources, automated workflows and internal tools using rapid app builder tools
  • Build templates, guardrails and building blocks that make it easy for non-engineers to experiment safely
  • Contribute to our internal automation platform using tools like AWS Bedrock, n8n and custom-built solutions
• Deliver measurable impact
  • Work closely with the PM and engineering lead to identify the highest-leverage opportunities
  • Ship quickly, measure outcomes (time saved, errors reduced, adoption) and iterate based on what you learn
  • Stay curious about emerging tools and techniques — and apply them where they will genuinely move the needle

What we are looking for

• Essential
  • 4+ years of software engineering experience
  • Strong full-stack skills in Python or TypeScript
  • Experience shipping containerised software to Kubernetes
  • Proven experience building AI tooling used by others in a commercial environment
  • Comfortable working with LLMs, embeddings and AI application patterns
  • Experience designing and building API integrations
  • Self-starter who takes ownership end-to-end — from understanding the problem, through design and implementation, to monitoring and iteration
  • Motivated by impact — you want to see your work used and making a difference
• Nice to have
  • Experience with workflow automation tools (n8n, Zapier, Make or similar)
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector)
  • Experience with AWS Bedrock or other LLM provider APIs
  • Knowledge of MCP (Model Context Protocol)
  • Frontend skills with Next.js or React for internal tooling

How you will work

You will join a small, focused team where you will have real ownership over what you build. Work comes as problem statements with clear direction from the engineering lead and PM — you will figure out the "how", design the approach, build it, and make sure it keeps delivering value. We value shipping and learning over perfection. The goal is always to deliver something useful, learn from how it’s used, and improve. You won’t be directly client-facing, but your work will directly impact colleagues across the business — and you will hear about it when something you built makes their day easier.

See your work make a difference

This isn’t a team where your code disappears into a monolith. You will build something on Monday and see it saving someone time by Friday. Every integration and tool you ship has a direct line to company efficiency.

High leverage

A small team means your contributions have outsized impact. No layers, fast decisions, real ownership.

Build new things

We are building a platform from the ground up, not maintaining legacy systems. You will shape how AI gets used across Lendable.

Work at the frontier

AI tooling is moving fast. You will work with the latest in agentic AI, workflow orchestration and LLM tooling — applied to real problems, not just proof-of-concepts.

Interview process

1. Screening call with Hiring Manager
2. Take-home task
3. Technical interview based on the task
4. Final interview

The opportunity to scale up one of the world’s most successful fintech companies. Best-in-class compensation, including equity. You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas. Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday. We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance. We are an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in London.