Original listing text, shown exactly as published by the company.
What you'll be doing
Build AI on top of our cloud closing agent pronto
- 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 make a difference to our engineering output
What we're looking for
Essential
- 4+ years of software engineering experience
- Proven experience building AI tooling used by others in a commercial environment
- Strong full-stack skills in TypeScript
- Frontend skills with Next.js or React to build an interface for engineers
- Knowledge of MCP (Model Context Protocol)
- Experience shipping containerised software to Kubernetes
- 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 AWS Bedrock or other LLM provider APIs
- Experience with monitoring tools such as Datadog
- Experience with creating guardrails for products: SLOs, DORA metrics
How you'll workYou’ll be part of a small core team that works with engineering representatives from across the company. We have a vision of how we can accelerate the engineering process with AI and you’ll be working with this group to complete the plan. We will also experiment and adapt the plan as new AI tooling and approaches emerge.
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.
Why join?See 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 engineering efficiency.
High leverage A small core 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.
Interview process
- Screening call with Hiring Manager
- Take-home task
- Technical interview based on the task
- Interview with Product Manager
- Final interview with Hiring 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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