Original listing text, shown exactly as published by the company.
What you'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, 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'll genuinely move the needle
What we're 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
- 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
Interview process
- Screening call with Hiring Manager
- Technical interview based on a theoretical task
- Interview with Product Manager
Life at Lendable
- 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.
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