Senior AI Engineer (Contract)
Quick Summary
About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money.
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
Responsibilities
~1 min read- →
Create connectors and integrations that make company data available to AI systems (Google Workspace, Slack, Jira, GitHub, Snowflake, Confluence and more)
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Build and maintain knowledge base pipelines, MCP integrations and API connections that power AI tooling across the business
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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
Experience of building and rolling out MCPs
Experience of building and rolling out AI Skills
Frontend skills with Next.js or React for internal tooling
Screening call with Hiring Manager
Technical interview based on a theoretical task
Interview with Product Manager
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
- May 14, 2026
- First seen
- May 14, 2026
- Last seen
- May 14, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 54%
- Scored at
- May 14, 2026
Signal breakdown
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