Browser Use

RAG & LLM Engineer Intern

InternshipHybridSurat, Gujarat3 months28K/mo12 openingsImmediate / Rolling

About this internship

Browser Use is hiring a RAG & LLM Engineer Intern in Surat — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to retrieval-augmented generation rather than a certificate-only programme. About the role As a RAG & LLM Engineer Intern at Browser Use, your…

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Skills you'll use

Retrieval-Augmented Generation (RAG)Vector Databases (Pinecone / Chroma)EmbeddingsPythonLangChain / LlamaIndexChunking StrategiesLLM EvaluationDocument ParsingREST APIsLatency & Cost Tuning

What you'll do

Work on building retrieval pipelines that keep model answers grounded in real documents alongside the core team
Apply Retrieval-Augmented Generation (RAG), Vector Databases (Pinecone / Chroma), Embeddings, Python to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech (CSE/IT/AI-ML), MCA or M.Sc (CS / Data Science)
Graduating batch 2025, 2026 or 2027 — final-year students and recent graduates welcome
60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
Working knowledge of Retrieval-Augmented Generation (RAG), Vector Databases (Pinecone / Chroma), Embeddings (or a genuine willingness to learn them)
Exposure to Python, LangChain / LlamaIndex, Chunking Strategies is an advantage
Clear written and verbal communication in English, and care with detail in your work
No prior work experience required — this is a fresher-friendly internship
Based in Surat, Gujarat or willing to work from there for the internship period

Perks & benefits

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & selection process

4 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Online aptitude / domain assessment
3Technical interview on fundamentals and your projects
4HR discussion — stipend, start date, expectations and offer

About Browser Use

Browser Use operates in the web ai agents sector and has an active presence in Surat. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work…

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