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    Job · 15152935

    Treelife Consulting logo

    AI Product Engineer

    Treelife Consulting · Mumbai · onsite · Posted 51d ago

    Undisclosed2–5 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    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 stable: 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 chasing every new tool
    Adoption and business lens
    • Treat adoption as a core outcome. A product that is live but unused has failed
    • Support internal rollout with a product that is stable, fast, and easy to use in real workflows
    • Measure usage and drop-off, then feed that back into what you build next
    • Entrepreneurial mindset: ownership, speed, trade-offs, and whether this makes the business better
    What are the key requirements for the role
    • 4-6yrs of strong technical base: architecture, APIs, data flow, models, and deployment. You can build, not only describe
    • Hands-on with AI products and the current AI toolchain (LLMs, embeddings, agents, evaluation, orchestration)
    • Working knowledge of software and hardware/infra: hosting, servers, environments, basic networking and usage
    • Experience taking a product from build to live yourself, ideally an internal tool or AI product in a services / professional-firm environment
    • Cloud hosting, cost optimisation, and production monitoring experience
    • Product sense with a business lens: adoption, value, and cost, not only shipping features
    • Entrepreneurial mindset: ownership, bias to action, comfort with incomplete information
    • Clear communicator with engineers and with the business
    • Comfort helping people move from old workflows onto a new product
    • Mid-level: you can run this without being managed day to day



    Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    Product Adoptionai developmentworkflowsorchestrationapisintegrationshostingEmbeddingsProduction MonitoringComputer NetworksdeploymentGoogle DataFlowcloudAI ToolsArchitectureArtificial Intelligence

    About Treelife

    Treelife Consulting logo

    Treelife Consulting

    Financial Services

    40

    employees

    2015

    11 years old

    Mumbai, Maharashtra

    US

    ₹9.1L PA avg

    Avg at Treelife

    About

    Treelife provides support to entrepreneurs & investors with access to professionals, including chartered accountants, lawyers, and company secretaries, who have expertise in the startup industry.

    Industries

    Financial Services

    Employee ratings

    10 reviews

    4.1/ 5

    Culture

    4.0

    Career growth

    3.8

    Work-life

    4.2

    Employees rate it well for

    Work-Life Balance41Skill Development41

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    AI Product Engineer · waiting for your command