Senior AI Software Engineer
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-02-14
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Software Development
Software Engineer, AI Engineer, Full Stack Developer, Cloud Engineer - Software
About Lendable
Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:
- One of the UK’s newest unicorns with a team of just over 700 people
- Among the fastest‑growing tech companies in the UK
- Profitable since 2017
- Backed by top investors including Balderton Capital and Goldman Sachs
- Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)
We’re looking for a hands‑on AI Engineer to join our Internal Automation team and help us make the whole company more efficient. You’ll work with a small team (4 engineers, 1 PM) to supercharge internal teams—from Finance and Compliance to Product and QA—by building AI‑powered tools, integrations, and automated workflows. This role is highly visible and gives you the opportunity to see the direct impact of your work.
WhatYou’ll Be Doing Build AI integrations and data sources
- Create connectors and integrations that make company data available to AI systems (Google Workspace, Slack, Jira, Git Hub, 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
- 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
- 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 genuinely move the needle
- 4+ years of software engineering experience
- Strong full‑stack skills in Python or Type Script
- 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
- 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
You’ll join a small, focused team where you’ll have real ownership over what you build. Work comes as problem statements with clear direction from the engineering lead and PM—you’ll figure out the “how”, design the approach, build it, and ensure it keeps delivering value. We value shipping and learning over perfection. You won’t be client‑facing, but your work will directly impact colleagues across the business.
WhyJoin? See Your Work Make a Difference
You’ll 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 LeverageA small team means your contributions have outsized impact. No layers, fast decisions, real ownership.
Build New ThingsWe’re building a platform from the ground up, not maintaining legacy systems. You’ll shape how AI gets used across Lendable.
Work at the FrontierAI tooling is moving fast. You’ll work with the latest in agentic AI, workflow orchestration, and LLM tooling—applied to real problems, not just proof‑of‑concepts.
Interview Process- Screening call with Hiring Manager
- Take‑home task
- Technical interview based on the task
- 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, those based in the UK come together IRL at our Shoreditch office in London to build and exchange ideas
- Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday‑Thursday
- We care for our Lendies’ well‑being both physically and mentally, so we offer coverage for private health insurance
- We’re an equal‑opportunity employer and are looking to make Lendable the most inclusive and open workspace in London
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