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Tata 1mg logo — Tata 1mg AI Engineer (LLM) in Nagpur, Maharashtra
Tata 1mg VerifiedActively Hiring

AI Engineer (LLM)

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Location

Nagpur, Maharashtra

Work Mode

In Office

Duration

0 months

Stipend

₹59,000/mo

Start Date

Immediate / as per notice period

Openings

4 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Applications are open for the AI Engineer (LLM) position at Tata 1mg in Nagpur. You will join a working team in applied generative AI, take a defined area end to end, and see the result of your work in the hands of real users or customers. About the role The AI Engineer (LLM) role at Tata 1mg…

About Tata 1mg

Tata 1mg is hiring a AI Engineer (LLM) in Nagpur — a full-time full-time position working in Python, LLM APIs and a vector store, with an indicative CTC of 4.7 LPA–9.4 LPA and 4 openings.
Nagpur, MaharashtraVerified employer4 openings
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Skills Required

PythonLLM APIsPrompt DesignRetrieval-Augmented GenerationVector DatabasesEvaluation SetsREST APIsCost & Latency ManagementGitError Analysis

Who Can Apply

  • B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) graduates with 0–2 years of relevant experience, based in Nagpur or willing to relocate. You should be comfortable with Python, LLM APIs, Prompt Design, Candidates from any recognised university are welcome, and career-changers with demonstrable skills are read on the same terms as fresh graduates. Freshers and final-year students awaiting results are welcome to apply — the selection process is designed to test how you think, not how much you have already memorised.

Perks

Flexible working hours around core collaboration timeModern hardware and the tool licences your role needsInternal knowledge sessions and access to senior reviewersClear, written progression criteria rather than an annual surpriseEmployee referral and performance bonus schemesTeam offsites and regular in-person timeSupport for internal mobility across teamsFixed monthly salary, paid on time

Interview & Selection Process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Short introductory call with the recruiter about your background and interest
  3. 3Technical or practical round based on the day-to-day work of the role
  4. 4Take-home exercise or live problem-solving discussion
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
59,000/month

Stipend · 0 months

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Openings4 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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