Gen AI Engineer Intern

Role Overview

We are looking for a Gen AI Engineer Intern (Leading to PPO) to focus on building, fine-tuning, and deploying Generative AI solutions. This is a paid internship opportunity.

Responsibilities

• LLM Implementation: Work with frameworks like LangChain, LlamaIndex, or AutoGPT to build AI agents.
• RAG Pipelines: Develop Retrieval-Augmented Generation (RAG) systems using Vector Databases (Pinecone, ChromaDB, or Weaviate).
• Prompt Engineering: Design and optimize prompts to improve model accuracy and reduce "hallucinations."
• API Integration: Integrate LLMs (OpenAI, Anthropic, or Open Source models via HuggingFace) into our core software products.
• Testing & Evaluation: Use frameworks to evaluate the performance and safety of AI outputs.

Requirements

• Education: B.E./B.Tech (CSE/IT), MCA, or M.Sc. IT.
• Advanced Python: Strong coding skills (Data structures, AsyncIO, and Classes).
• AI Knowledge: Understanding of Transformers, Embeddings, and Tokenization.
• APIs: Experience working with RESTful APIs and JSON data.
• Problem Solver: Ability to research the latest AI research papers and implement them practically.

Skills

• LangChain
• RAG
• LLM
• Python
• Generative AI