LLM Developer (Gen AI - Python) Internship

Role Overview

As an LLM Developer (GenAI – Python) Intern, you will work on real-world AI engineering projects involving LLMs, RAG systems, local model deployment, AI-powered ERP workflows, APIs, databases, and intelligent business applications. This is a highly hands-on role for someone who wants to go beyond simply calling an AI API and learn how production-grade GenAI systems are designed, integrated, secured, and deployed.

Responsibilities

• Build AI-powered features using commercial and open-source language models.
• Integrate LLMs into real-world business applications and workflows.
• Develop Python-based orchestration logic for LLM applications.
• Build and improve Retrieval-Augmented Generation (RAG) pipelines.
• Work with vector databases such as FAISS, ChromaDB, Qdrant, or Pinecone.
• Experiment with locally hosted open-source language models using tools such as Ollama, Hugging Face, or vLLM.
• Develop clean, maintainable Python code and build backend services and APIs.
• Integrate AI capabilities into Odoo and enterprise workflows.
• Implement input and output validation and guardrails for AI systems.

Requirements

• Strong understanding of Python fundamentals.
• Good understanding of Object-Oriented Programming.
• Strong problem-solving and debugging ability.
• Understanding of functions, modules, classes, exceptions, data structures, and APIs.
• Basic understanding of SQL and relational databases.
• Understanding of JSON and HTTP/API concepts.
• Ability to read technical documentation and learn independently.

Skills

• Python
• LLM
• RAG
• Vector Databases
• Generative AI