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

AI Engineer (LLM)

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Location

Kanpur, Uttar Pradesh

Work Mode

In Office

Duration

0 months

Stipend

₹54,000/mo

Start Date

Immediate / as per notice period

Openings

2 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹54,000/moApply on Company Website ↗

About the Internship

Aagnia Technologies is recruiting a AI Engineer (LLM) for its Kanpur team. The role suits someone early in their career who wants depth in applied generative AI rather than a rotation through everything at once. About the role This AI Engineer (LLM) position is about building product features on…

About Aagnia Technologies

Aagnia Technologies 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 4.3 LPA–8.6 LPA and 2 openings.
Kanpur, Uttar PradeshVerified employer2 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 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

Internal 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 daysHealth insurance cover for you (and family cover on confirmation)

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Take-home exercise or live problem-solving discussion
  3. 3Discussion with the hiring manager on how you approach problems and work with others
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out
54,000/month

Stipend · 0 months

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Openings2 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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