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: Strong 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 unpaid internship.Skills: api,advanced,python,research,framework
