About the Internship
Core Responsibilities– Production Engineering (50%): Write clean, scalable, and maintainable code (Python/Node.js) to support live client deliverables. You will build backend APIs, optimize data pipelines, and troubleshoot live technical environments to ensure our delivery timelines are met.
– Applied AI & LLM Integration (50%): Build AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and directly integrate foundational LLMs into our core back-end systems.
– System Architecture: Work alongside senior developers to connect experimental AI work-flows with stable, enterprise-grade databases and cloud infrastructure.
Required Skills & Stack
– Strong Coding Fundamentals: You are highly comfortable writing and debugging back-end code. You know your way around APIs, databases (SQL/NoSQL), and version control (Git).
– AI/LLM Mechanics: You understand how LLMs actually work under the hood. You are familiar with prompt engineering, context window management, tokenization, and vector databases.
– Systems Thinking: You can break down complex bottlenecks logically. You understand
the trade-offs between a cutting-edge AI feature and a stable, scalable software product.
– Adaptability: You can context-switch quickly between researching a new AI integration
and shipping a strict, deadline-driven client feature.
Number of Openings
2 openingsPerks of this Internship
5 days a week Certificate
Other Requirements
1. are available for full time (in-office) internship
2. have relevant skills and interests
3. can start the internship between 20th Feb'26 and 27th Mar'26
4. are available for duration of 3 months
5. have already graduated or are currently in any year of study
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