• 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 master’s 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.

Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI architectures. • Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or TensorFlow. • Build scalable APIs using FastAPI to serve AI models and integrate with enterprise systems. • Collaborate with data scientists and ML engineers to deploy models using CI/CD pipelines on Azure. • Optimize model performance and ensure robustness in production environments. • Stay updated with the latest research and advancements in generative AI and deep learning. • Scalability & Performance: Ability to write productive code and consider scalability and latency implications for Gen AI applications.

📌 Agentic AI (Pune)
🏢 Tata Consultancy Services
📍 Pune