Senior AI Software Engineer (Internal Automations)
Quick Summary
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…
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…
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
About the Role
~1 min readCreate 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
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'll genuinely move the needle
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
~1 min readExperience 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 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'll hear about it when something you built makes their day easier.
What We Offer
~1 min readSee your work make a difference This isn't a team where your code disappears into a monolith. 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 leverage A small team means your contributions have outsized impact. No layers, fast decisions, real ownership.
Build new things We're building a platform from the ground up, not maintaining legacy systems. You'll shape how AI gets used across Lendable.
Work at the frontier AI 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.
Screening call with Hiring Manager
Take-home task
Technical interview based on the task
Final interview
Winning team: the opportunity to scale up one of the world’s most successful fintech companies
Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites
Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
Health coverage: support for your physical and mental wellbeing, including private health cover
Retirement & savings: long-term financial wellbeing through retirement savings plans
Employee referral programme: earn a competitive bonus when you refer successful new team members
Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations
Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.
Check out our blog!
Location & Eligibility
Listing Details
- Posted
- February 9, 2026
- First seen
- May 7, 2026
- Last seen
- May 7, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- May 7, 2026
Signal breakdown
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