Who are we looking for?
We are hiring a technical owner for our in-house AI products. This is a mid-layer engineering role. You will own the products we have already built, upgrade them, take them through to deployment, and stay close enough to users that the product actually gets adopted.
You are a technical resource first. You write, review, and ship. You understand the stack, the models, the infra, and the business problem well enough to make the right build decisions yourself.
What you will own
In-house AI products: architecture, upgrades, quality, and release until deployment
Technical execution for AI development happening inside the company
Software and hardware infrastructure the products run on (hosting, servers, environments, usage, cost, reliability)
Product adoption from a technical side: rollout, stability, usability, and feedback into the next build
What will be your key responsibilities?
Build, upgrade, deploy
Own development and upgrades from design through testing to production
Work in the codebase: architecture, AI tooling, integrations, and release quality




Definition of done is deployment. Code that is written but not live is not done
Keep the product secure: fewer regressions, less leftover WIP, faster path from change to live
Technical ownership
Own the in-house AI product(s) as a builder: what we ship, how it is built, and whether it holds up in production
Turn business problems into technical solutions, not a list of tickets for someone else
Make build vs buy vs ignore calls on AI tools, models, and frameworks
Infrastructure
Stay hands-on with hosting, servers, environments, usage, and cost
Size infra to the product. Reliability and spend are part of the job, not a side conversation
Keep product decisions and server reality aligned
AI and technology
Stay current on AI tools, models, frameworks, and how the market is moving
Recommend what we should adopt, what we should skip, and what we should build ourselves
Keep the stack current without cha

📌 AI Product Engineer (Mumbai)
🏢 treelife
📍 Mumbai