We are looking for AI / Generative AI Interns or Junior AI Developers who are passionate about building applications using Large Language Models (LLMs), RAG systems, and AI frameworks.

The candidate will work with our engineering team to build AI-powered applications, develop AI agents, integrate LLM APIs, and experiment with modern AI frameworks.

This role is ideal for candidates who enjoy hands-on experimentation with AI technologies and building practical AI solutions.

Key Responsibilities

Build AI-powered applications using Large Language Models (LLMs).
Implement Retrieval Augmented Generation (RAG) pipelines.
Work with vector databases and embeddings for knowledge retrieval.
Develop Python services and APIs to integrate AI models into applications.
Integrate LLM APIs and AI tools with web applications and backend services.
Experiment with AI frameworks and open-source models to build prototypes.
Collaborate with engineering teams to test and improve AI solutions.
Document technical implementations and experiments

Required Skills
Python programming (data handling, scripting, FastAPI basics)
LLM & Generative AI concepts (prompting, embeddings, RAG)
Vector databases such as Pinecone, FAISS, Chroma, etc.
Hands-on AI projects or experiments available on GitHub.

Good to Have Skills

Experience with AI frameworks such as LangChain, LangGraph, CrewAI, etc.
Experience building REST APIs and integrating LLM APIs
Familiarity with open-source LLMs or HuggingFace models
Basic understanding of machine learning concepts

Jr. AI Developer

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