Role & responsibilities
Design and develop robust Python applications and APIs for AI/LLM-based services.
Fine-tune, evaluate, and deploy LLMs using frameworks like Hugging Face Transformers, LangChain, or OpenAI APIs.
Build and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and model inference.
Collaborate with cross-functional teams to integrate LLMs into real-world applications (e.g., chatbots, summarization tools, code generation).
Implement scalable backend systems using FastAPI, Flask, or Django.
📌 Walk In Ai/data Platform Engineer Hyderabad (India)
🏢 Tata Consultancy Services
📍 India
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