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Amagi logo — Amagi AI Engineer (LLM) in Faridabad, Haryana
Amagi VerifiedActively Hiring

AI Engineer (LLM)

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Location

Faridabad, Haryana

Work Mode

In Office

Duration

0 months

Stipend

₹59,000/mo

Start Date

Immediate / as per notice period

Openings

3 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Start your career in applied generative AI at Amagi as a AI Engineer (LLM) in Faridabad. This is a full-time position with a structured first ninety days, a named mentor, and genuine responsibility once you are through it. About the role In this role you will be building product features on…

About Amagi

Amagi is hiring a AI Engineer (LLM) in Faridabad — 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 3 openings.
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Faridabad, HaryanaVerified employer3 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 Faridabad 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

Modern 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 timeStructured onboarding with a named mentor for the first 90 days

Interview & Selection Process

3 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. 3HR discussion — compensation, notice period, joining date and offer roll-out
59,000/month

Stipend · 0 months

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Openings3 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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