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Pocket FM logo — Pocket FM AI Engineer (LLM) in Gurugram, Haryana
Pocket FM VerifiedActively Hiring

AI Engineer (LLM)

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Location

Gurugram, Haryana

Work Mode

Hybrid

Duration

0 months

Stipend

₹71,000/mo

Start Date

Immediate / as per notice period

Openings

1 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Applications are open for the AI Engineer (LLM) position at Pocket FM in Gurugram. 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 As a AI Engineer (LLM) at Pocket FM…

About Pocket FM

Pocket FM is hiring a AI Engineer (LLM) in Gurugram — a full-time full-time position working in Python, LLM APIs and a vector store, with an indicative CTC of 5.7 LPA–11.3 LPA and 1 opening.
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Gurugram, HaryanaVerified employer1 opening
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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 Gurugram 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

Clear, 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 timeStructured onboarding with a named mentor for the first 90 daysHealth insurance cover for you (and family cover on confirmation)Learning and certification budget

Interview & Selection Process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Final discussion covering role expectations, compensation and start date
  3. 3Application screening (CV and, where relevant, a portfolio or code sample)
  4. 4Short introductory call with the recruiter about your background and interest
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
71,000/month

Stipend · 0 months

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Openings1 positions
Applicants1 applied
ModeHybrid
CategoryMachine Learning
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