Key Responsibilities
- Develop GenAI applications using Large Language Models (LLMs) such as Amazon Bedrock, Claude, OpenAI, or similar models
- Build and enhance Retrieval-Augmented Generation (RAG) applications using vector databases and embeddings
- Create AI solutions capable of processing text, documents, images, tables, and other data formats
- Assist in developing AI agents and multi-agent workflows using frameworks like LangChain or CrewAI
- Integrate AI agents with enterprise systems, APIs, databases, and knowledge repositories
- Develop backend services and APIs using Python and FastAPI
Requirements
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field
- 1–2 years of experience in AI/ML, Data Science, or Software Development
- Strong programming skills in Python and familiarity with Machine Learning, Deep Learning, NLP, and Generative AI concepts
- Hands-on experience with LangChain, OpenAI APIs, or Amazon Bedrock
- Understanding of embeddings, vector databases (FAISS, Chroma, Pinecone), and REST APIs