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CaratLane logo — CaratLane GenAI Engineer Intern in Pimpri-Chinchwad, Maharashtra
CaratLane VerifiedActively Hiring

GenAI Engineer Intern

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Location

Pimpri-Chinchwad, Maharashtra

Work Mode

Hybrid

Duration

6 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

5 positions

Type

Full-time

Category

Generative AI

Apply Now — ₹18,000/moApply on Company Website ↗

About the Internship

CaratLane is hiring a GenAI Engineer Intern in Pimpri-Chinchwad — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to generative AI engineering rather than a certificate-only programme. About the role As a GenAI Engineer Intern at CaratLane, your core…

About CaratLane

CaratLane offers a mentor-led GenAI Engineer Intern in Pimpri-Chinchwad with live project work in generative ai, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
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Pimpri-Chinchwad, MaharashtraVerified employer5 openings
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Skills Required

Large Language Models (LLMs)PythonPrompt EngineeringLangChainREST APIsVector DatabasesLLM EvaluationToken & Cost OptimisationGit & GitHubGuardrails & Safety

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/AI-ML), BCA, MCA or M.Sc (Computer Science / Data Science) who are based in or willing to work from Pimpri-Chinchwad. You should be keen to learn Large Language Models (LLMs), Python, Prompt Engineering 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

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
18,000/month

Stipend · 6 months

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Openings5 positions
Applicants0 applied
ModeHybrid
CategoryGenerative AI
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