Data & AI Intern

OpsTree Solutions; Dadri; On-site; INR 167,400 - 301,320; Part time

Benefits offered by this job

Job summary

OpsTree Solutions in Dadri, India invites a Data & AI Intern to join our AI team. You will apply foundational AI knowledge, Python programming, and understanding of LLMs to real-world projects, building and deploying robust AI applications with FastAPI and RAG systems.

You will learn from experienced engineers, gaining hands-on exposure to vector databases like FAISS, ChromaDB, Pinecone, and LangChain tools.

Qualifications

• Currently pursuing a relevant degree in CS/AI.
• Proficient in Python and basic FastAPI/REST API concepts.
• Understanding of LLMs, RAG, and prompt engineering.
• Familiar with vector databases and LangChain tools.
• Ability to debug, reason clearly, and work well in a team.

Responsibilities

• Develop and deploy AI applications using Python and FastAPI.
• Design and implement Retrieval-Augmented Generation (RAG) systems with LLMs.
• Apply prompt engineering to optimize LLM performance and integrate APIs.
• Contribute to AI Agents and Multi-Agent Systems projects.
• Use vector databases to manage and retrieve information efficiently.
• Collaborate with peers to debug, test, and improve AI solutions.

Skills

Python

FastAPI

REST API

LLMs

RAG

Prompt Engineering

LangChain

LangGraph

AI Agents

Multi-Agent Systems

Vector Databases

Git

Education

Pursuing Bachelor/Master in CS/AI

Tools

LangChain

LangGraph

FAISS

ChromaDB

Pinecone

GitHub

FastAPI

Job description

Join our team as a Data & AI Intern and contribute to the development of next-generation AI solutions. This is an unparalleled opportunity to apply your foundational AI knowledge, Python programming skills, and understanding of LLMs to real-world projects. You'll gain hands-on experience with cutting-edge technologies like RAG, LangChain, and vector databases, working alongside experienced engineers to deliver tangible impact.

Responsibilities

Develop and deploy robust AI applications using Python and FastAPI.

Design and implement Retrieval-Augmented Generation (RAG) systems and integrate Large Language Models (LLMs).

Apply Prompt Engineering techniques to optimize LLM performance and integrate various LLM APIs.

Contribute to the development of AI Agents and Multi-Agent Systems.

Utilize vector databases and other data stores to manage and retrieve information effectively.

Collaborate with team members to debug, test, and refine AI solutions.

Requirements

Strong programming proficiency in Python.

Basic understanding of FastAPI and REST API development.

Grasp of Generative AI concepts and Large Language Models (LLMs).

Practical experience with Retrieval-Augmented Generation (RAG).

Familiarity with LangChain and LangGraph.

Knowledge of AI Agents and Multi-Agent Systems.

Experience with Prompt Engineering and LLM integration.

Understanding of Vector Databases (e.g., FAISS, ChromaDB, Pinecone).

Basic proficiency with Git/GitHub for version control.

Proven problem-solving and debugging capabilities.

Nice-to-Haves

Prior experience with OpenAI, Gemini, Claude, or other LLM APIs.

Knowledge of MongoDB or PostgreSQL.

Personal or academic projects demonstrating Generative AI applications.

What We Offer

Direct mentorship from experienced AI engineers and data scientists.

Hands-on involvement in impactful AI projects, from concept to deployment.

A dynamic, collaborative environment focused on learning and innovation.

Opportunity to significantly expand your skill set in cutting-edge AI technologies.

Exposure to industry best practices and a clear path for professional growth.