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Aeries Financial Technologies logo — Aeries Financial Technologies AI Engineer (LLM) in Bengaluru, Karnataka
Aeries Financial Technologies VerifiedActively Hiring

AI Engineer (LLM)

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Location

Bengaluru, Karnataka

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

Start your career in applied generative AI at Aeries Financial Technologies as a AI Engineer (LLM) in Bengaluru. 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 As a AI Engineer (LLM) at Aeries…

About Aeries Financial Technologies

Aeries Financial Technologies is hiring a AI Engineer (LLM) in Bengaluru — a full-time full-time position working in Python, LLM APIs and a vector store, with an indicative CTC of 5.4 LPA–10.8 LPA and 2 openings.
Bengaluru, KarnatakaVerified 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 Bengaluru 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

Fixed 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 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 reviewers

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
68,000/month

Stipend · 0 months

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Openings2 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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