AI Automation Engineer (Internal AI Lead)

Location: Bengaluru (India) 

About Plum

Plum is re-imagining employee healthcare & insurance benefits for fast-growing Indian businesses. We combine modern insurance products, primary, preventive care and data-driven claims to protect 5,000+ companies and 1 million+ lives today. Our next milestone—10 million lives by 2025—demands that every team can move faster and smarter than ever.

The Team & Role

We’re hiring our first AI Automation Engineer to lead how we apply AI inside Plum. Your mandate is simple: turn manual, repetitive work into intelligent, self-serve systems. You will partner with Claims Ops, Sales, Marketing, Product, Finance and Customer Success to uncover the highest-leverage problems and ship LLM-powered tools.

What You’ll Do

• Identify & prioritise high-impact automation opportunities across the company through quick discovery sprints and shadow sessions.

• Prototype, evaluate and ship internal AI agents, chat interfaces and micro-apps—then iterate based on usage data.

• Leverage AI to build AI: use code-generation, automated testing and evaluation harnesses to accelerate your own workflow.

• Own the full stack—from prompt engineering and retrieval-augmented generation (RAG) to React/Next.js front-ends and serverless deployments.

• Guardrails & Governance: implement feedback loops, data-privacy controls and bias checks so teammates can trust the outputs.

• Evangelise and enable: run brown-bag demos, author SOPs, and measure ROI so that every Plum team adopts your tools.

Minimum Requirements

• 5+ years building production software with Python, TypeScript/JavaScript and React.

• Shipped at least one LLM-backed tool (prompt engineering, RAG, automated evals).

• Strong debugging skills across distributed systems, REST/GraphQL APIs and cloud infra.

• High agency, excellent written communication, and a track record of owning projects end-to-end.

Nice-to-Haves

• Familiarity with vector databases, LangChain/LlamaIndex, evaluation frameworks.

• Background in RPA or low-code automation suites.

• Contributions to open-source AI projects or published blog posts on LLM best practices.

Ready to shape how AI powers the next generation of employee health?

Apply now or reach out to ai-hiring@plumhq.com with links to projects or demos.