Must-Have :

- Strong programming skills in Python with experience in building ML/NLP applications.

- Hands-on experience with Deep Learning, Machine Learning, and Natural Language Processing.

- Proficiency in working with LLMs (e.g., GPT,Gemini, LLaMA, Mistral) and RAG architecture.

- Experience with Agentic AI frameworks and autonomous agent design.

- Familiarity with FastAPI for building RESTful APIs.

- Experience with CI/CD pipelines and deploying solutions on Azure Cloud, GCP and AWS

- Solid understanding of data structures, algorithms, and software engineering principles.

- Bachelors or masters degree in computer science, AI, Data Science, or related field.

- Retrieval Augmented Generation (RAG): Hands-on experience in building and optimizing RAG pipelines from scratch

- Expert-level proficiency and hands-on experience with LangChain and/or LlamaIndex for building complex LLM applications, including chains, agents, memory, and tool integration.