lendable - Senior AI Engineer (Internal Automations)
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Requirements
• 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 • 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 • Knowledge of MCP (Model Context Protocol) • Frontend skills with Next.js or React for internal tooling • HOW YOU'LL WORK • 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.
Responsibilities
• 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
Benefits
• 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 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.
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