Full Stack AI Engineer - Internship

Overview

About the internship:

Selected intern's day-to-day responsibilities include:

1. Build & Ship Features: Design, build, and maintain full-stack features in Node and Next.js (including UI, server components, and protected API routes) that integrate complex LLM and retrieval systems.
2. Implement RAG Pipelines: Develop and own entire Retrieval-Augmented Generation (RAG) pipelines: from text ingestion, chunking, and embedding to vector storage, retrieval, and response synthesis.
3. Orchestrate AI Workflows: Utilize frameworks like LangGraph, LangChain or LlamaIndex to orchestrate sophisticated retrieval flows, tool usage, and multi-agent systems.
4. Optimize Database Performance: Design and optimize data models and queries in MongoDB to ensure low latency and support high concurrency.
5. Implement Caching Strategies: Integrate and manage caching layers using Redis (or equivalent) for embeddings, search results, and critical session data to enhance performance.
6. Focus on Performance & Cost: Work on improving the observability, performance (latency, batching), and cost-efficiency of our AI services through prompt engineering and infrastructure tweaks.
7. Collaborate on System Design: Contribute to system design discussions for scaling our applications, suggesting improvements for load-balancing, horizontal scaling, and fault tolerance.
8. Uphold Engineering Excellence: Write clean, maintainable code, comprehensive tests, and clear documentation. You will also set up reproducible local/dev environments and present demos of your work.

Who can apply:

Only those candidates can apply who:

1. are available for full time (in-office) internship
2. can start the internship between 29th Sep'25 and 3rd Nov'25
3. are available for duration of 6 months
4. have relevant skills and interests
5. are Computer Science Engineering students

Stipend:

INR₹ 10,000 - 15,000 /month

Deadline:

2025-10-29 23:59:59

Other perks:

Certificate, Letter of recommendation, Flexible work hours, Informal dress code, 5 days a week

Skills required:

MongoDB, Node.js, UI & UX Design, Docker, GitHub, TypeScript, DevOps, Kubernetes, CI/CD, Next.js, OpenAI API, LangChain and LLM evaluation

Other Requirements:

1. Must-Have Skills (Required Qualifications)

2. Strong hands-on experience building production-level applications with Next.js and Node.js.

3. Practical experience integrating with the OpenAI API (specifically embeddings and chat/completions models like the gpt-* family).

4. Solid understanding of Retrieval-Augmented Generation (RAG) concepts (chunking, embedding, retrieval, context windowing, answer synthesis).

5. Familiarity with vector databases and retrieval systems (e.g., Pinecone, Weaviate, Milvus, Supabase Vector, or Redis with vector search).

6. Experience using or a strong willingness to immediately learn LangGraph, LangChain or LlamaIndex.

7. Good practical knowledge of MongoDB, including writing optimized queries and managing indexes.

8. Proficiency in modern TypeScript and a strong ability to reason about asynchronous flows and performance.

9. Excellent communication skills with the ability to articulate technical tradeoffs in design notes, PR descriptions, and team discussions.

10. Strong hold over rapid application development using AI assisted coding.

About Company:

DigiPlus IT is a digital marketing and IT consulting company providing digital implementation and integration services. The DigiPlus IT team has extensive experience in high-profile digital transformation projects with the application of cutting-edge digital technology, challenges, and solutions that transformation needs.