Senior AI Engineer, Lendable

• If you're motivated by solving real problems and seeing your work make a tangible difference, this is for you
• We need someone who takes full ownership — not just writing code, but thinking through the problem, designing the solution, shipping it, and making sure it keeps working
• 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

Desirable

• We're looking for a hands-on AI Engineer to join our Internal Automation team at Lendable and help us make the whole company more efficient
• Our mission is to supercharge internal teams — from Finance and Compliance to Product, QA and beyond — by building AI-powered tools, integrations and automated workflows
• You'll be part of a small team (4 engineers, 1 PM) with a simple goal: remove friction, automate the tedious, and give colleagues back time to focus on high-value work
• This is a role where you'll see the direct impact of what you build
• You'll ship an integration and watch it save hours of manual work
• You'll build a tool and see a team adopt it the same week
• You'll own your work from "what should we build?" through to "is it still delivering value?". You'll also be working at the frontier of AI tooling — building with LLMs, experimenting with new approaches, and figuring out what's possible
• 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
• 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

• Screening call with Hiring Manager
• Take-home task
• Technical interview based on the task
• Final interview