Full Stack Development - Internship
INTELLIGENT SYSTEMS PRIVATE LIMITED Verified employer
Actively hiring · Posted 24d ago · JEV261087DFCD2016
Job description
About the internship:Selected intern's day-to-day responsibilities include:
1. Building UI features in React and TypeScript
2. Writing REST APIs in Node.js and Express
3. Working with MongoDB and SQL databases
4. Building LLM features in Python: RAG pipelines, chatbots, and simple agents using LangChain and LangGraph
5. Integrating LLM APIs and third-party services
6. Fixing bugs, writing tests, and taking part in code reviewsWho can apply:Only those candidates can apply who:are available for full time (in-office) internshipcan start the internship between 24th Sep'26 and 29th Oct'26are available for duration of 3 monthshave relevant skills and interests* Women wanting to start/restart their career can also apply.are Computer Science Engineering students* Freshers looking for jobs may also applyStipend:INR₹ 12,000 - 16,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Informal dress code, Job offerSkills required:JavaScript, Python, SQL, MongoDB, Git, Node.js, Express.js, React, REST API, FastAPI, Generative AI Development and LangChainOther Requirements:B.Tech/B.E./M.Tech in CS, IT, or a related field (final-year students and recent graduates)Available for the full 3 months, on-site in BengaluruAbout Company:EnterpriseSI is an enterprise-focused technology company that provides agentic AI accelerators, secure builder playgrounds, and talent transformation solutions to help organizations adopt and realize value from AI.Additional information:Job offer: On successful conversion to a permanent employee, the candidate can expect a salary of ₹ 400000 /year
Responsibilities
Selected intern's day-to-day responsibilities include:
1. Building UI features in React and TypeScript
2. Writing REST APIs in Node.js and Express
3. Working with MongoDB and SQL databases
4. Building LLM features in Python: RAG pipelines, chatbots, and simple agents using LangChain and LangGraph
5. Integrating LLM APIs and third-party services
6. Fixing bugs, writing tests, and taking part in code reviews
Key skills
How to apply
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