Role: Gen AI Engineer Intern (Leading to PPO)

Education: B.E./B.Tech (CSE/IT), MCA, or M.Sc. IT

Focus: Building, fine-tuning, and deploying Generative AI solutions.

Key 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.

Required Skills

Advanced Python: Robust coding skills in Python (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.

Note: This is a paid internship.Skills: langchain,api,rag,llm,generative ai

📌 Gen Ai Engineer Intern Pune (India)
🏢 Setoo
📍 India