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PhysicsWallah logo — PhysicsWallah AI Engineer (LLM) in Kanpur, Uttar Pradesh
PhysicsWallah VerifiedActively Hiring

AI Engineer (LLM)

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Location

Kanpur, Uttar Pradesh

Work Mode

In Office

Duration

0 months

Stipend

₹58,000/mo

Start Date

Immediate / as per notice period

Openings

1 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹58,000/moApply on Company Website ↗

About the Internship

PhysicsWallah is hiring a AI Engineer (LLM) in Kanpur. This is a full-time, permanent role with real ownership from the first quarter — you will be given work that ships, reviewed by people who know the craft, and the context to understand why it matters. About the role In this role you will be…

About PhysicsWallah

PhysicsWallah is hiring a AI Engineer (LLM) in Kanpur — a full-time full-time position working in Python, LLM APIs and a vector store, with an indicative CTC of 4.7 LPA–9.3 LPA and 1 opening.
Kanpur, Uttar PradeshVerified 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 Kanpur 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

Health insurance cover for you (and family cover on confirmation)Learning and certification budgetPaid leave, casual leave and public holidaysFlexible 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 schemes

Interview & Selection Process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Application screening (CV and, where relevant, a portfolio or code sample)
  3. 3Short introductory call with the recruiter about your background and interest
  4. 4Technical or practical round based on the day-to-day work of the role
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
58,000/month

Stipend · 0 months

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Openings1 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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