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.