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Larsen & Toubro logo — Larsen & Toubro GenAI Engineer Intern in Bengaluru, Karnataka
Larsen & Toubro VerifiedActively Hiring

GenAI Engineer Intern

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Location

Bengaluru, Karnataka

Work Mode

Hybrid

Duration

4 months

Stipend

₹26,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Generative AI

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About the Internship

Join Larsen & Toubro in Bengaluru as a GenAI Engineer Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on GenAI engineering work. About the role As a GenAI Engineer Intern at Larsen & Toubro, your core…

About Larsen & Toubro

Larsen & Toubro offers a mentor-led GenAI Engineer Intern in Bengaluru with live project work in generative ai, a stipend of ₹26,000/month and a Pre-Placement Offer opportunity for strong performers.
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Bengaluru, KarnatakaVerified employer6 openings
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Skills Required

PythonLLM APIsRAG PipelinesVector DatabasesPrompt EngineeringLangChain or LlamaIndexToken & Cost ManagementCachingEvaluationGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Bengaluru. You should be keen to learn Python, LLM APIs, RAG Pipelines on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursStructured onboarding and a formal mentor at a large, established employer

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer
26,000/month

Stipend · 4 months

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Openings6 positions
Applicants0 applied
ModeHybrid
CategoryGenerative AI
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