Job DescriptionWho are we looking for?
NWe are hiring a technicalowner 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.
NYou 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.
NWhat you will own
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- N
- In-house AI products: architecture, upgrades, quality, and release until deployment N
- Technical execution forAI development happening inside the company N
- Software and hardware infrastructure the products run on (hosting, servers, environments, usage, cost, reliability) N
- Product adoption from atechnical side: rollout, stability, usability, and feedback into the next build N

nWhat will be your key responsibilities?
NBuild, upgrade, deploy
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- n
- Own development and upgrades from design through testing to production N




- Work in the codebase: architecture, AI tooling, integrations, and release quality N
- Definition of done is deployment. Code that is written but not live is not done N
- Keep the product reliable: fewer regressions, less leftover WIP, faster path from change to live N

nTechnical ownership
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- n
- Own the in-house AI product(s) as a builder: what we ship, how it is built, and whether it holds up in production N
- Turn business problems into technical solutions, not a list of tickets for someone else N
- Make build vs buy vs ignore calls on AI tools, models, and frameworks N

nInfrastructure
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- N
- Stay hands-on with hosting, servers, environments, usage, and cost N
- Size infra to the product. Reliability and spend are part of the job, not a side conversation N
- Keep product decisions and server reality aligned N

nAI and technology
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- Stay current on AI tools, models, frameworks

📌 Ai Product Engineer (Alibag)
🏢 treelife
📍 Alibag