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Aeron Systems logo — Aeron Systems AI Engineer (LLM) in Pune, Maharashtra
Aeron Systems VerifiedActively Hiring

AI Engineer (LLM)

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Location

Pune, Maharashtra

Work Mode

Hybrid

Duration

0 months

Stipend

₹68,000/mo

Start Date

Immediate / as per notice period

Openings

2 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹68,000/moApply on Company Website ↗

About the Internship

Aeron Systems is recruiting a AI Engineer (LLM) for its Pune 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 In this role you will be building product features on language models and…

About Aeron Systems

Aeron Systems is hiring a AI Engineer (LLM) in Pune — a full-time full-time position working in Python, LLM APIs and a vector store, with an indicative CTC of 5.4 LPA–10.9 LPA and 2 openings.
Pune, MaharashtraVerified 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 Pune 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. 2Technical or practical round based on the day-to-day work of the role
  3. 3Take-home exercise or live problem-solving discussion
  4. 4Discussion with the hiring manager on how you approach problems and work with others
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
68,000/month

Stipend · 0 months

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Openings2 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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