LLM Engineering Intern

Company : Ve3

Job Type : Internship

Pune City, Maharashtra

Number of Applicants

:

000+

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Job Description - LLM Engineering Intern

Job title: LLM Engineering Intern

Requirements

What You'll Do:

• Work on interesting client projects, implementing explainability frameworks (RAGAS) for AI model outputs

• Build RAG (Retrieval -Augmented Generation) systems for geoscience document automation

• Fine -tune open -source LLMs using LoRA/QLoRA for domain -specific NLP applications

• Design and implement embedding pipelines and vector database architectures to support enterprise knowledge management

• Assist in optimizing LLM performance for accuracy, latency, and cost efficiency

• Participate in system architecture reviews to ensure scalable, secure, and production -ready LLM deployment

• Document experiments, model configurations, and evaluation results

Requirements:

• MTech / MSc in NLP, AI/ML, or related field (current student or recent grad)

• Strong Python skills and experience with Transformers library (Hugging Face)

• Academic project experience with LLMs, fine -tuning, or NLP tasks

• Understanding of modern LLM techniques (prompt engineering, RAG, fine -tuning)

• Bonus: Experience with vector databases, embedding models, or LLM serving (vLLM, Ollama)What You'll Learn

• Production LLM deployment for offshore wind sector clients

• RAG architecture for enterprise geoscience knowledge management

• LLM evaluation and quality control (RAGAS, human -in -the -loop validation)

• AI systems architecture for LLM deployment under Technical Architect mentorship

What You'll Learn:

• Production LLM deployment for offshore wind sector clients

• RAG architecture for enterprise geoscience knowledge management

• LLM evaluation and quality control (RAGAS, human -in -the -loop validation)

• AI systems architecture for LLM deployment under Technical Architect mentorship

Benefits

Competitive salary and benefits package.
Opportunities for professional development and certification.
Flexible working arrangements and a collaborative team environment.

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