Data Scientist at Hyderabad

Data Scientist About the Role: We are looking for a highly motivated Data Scientist with a strong foundation in building intelligent, autonomous, and goal-driven Agentic AI systems. The ideal candidate will have hands-on experience in designing, training, and deploying AI agents that leverage LLMs, RAG, and autonomous task orchestration to solve complex business problems. Key Responsibilities: • Design and develop agentic AI systems capable of planning, reasoning, and executing tasks with minimal human input. • Implement LLM-based agents using frameworks such as LangGraph, AutoGPT, CrewAI, AgentOps, or similar. • Build and integrate Retrieval-Augmented Generation (RAG) pipelines to enable contextual grounding for agents. • Fine-tune and prompt-engineer foundation models (OpenAI, LLaMA, Mistral, etc.) for domain-specific use cases. • Collaborate with cross-functional teams to identify use cases and implement scalable AI solutions. • Monitor agent performance, identify bottlenecks, and improve reliability and efficiency.

Required Skills: • 5+ years of experience in Data Science, Machine Learning, or AI. • Strong Python programming skills and familiarity with AI/ML frameworks (TensorFlow, PyTorch, HuggingFace). • Hands-on experience with LLMs, prompt engineering, RAG, and vector databases (e.g., FAISS, Pinecone, Weaviate). • Practical knowledge of agentic AI frameworks (Langraph, CrewAI, AutoGPT, etc.). • Familiarity with orchestration tools like Airflow, FastAPI, or similar. • Good understanding of RESTful APIs, microservices, and cloud platforms (AWS/GCP/Azure). • Should have worked in the Healthcare insurance space from the payer side • Nice to Have: • Exposure to LangGraph, Semantic Kernel, or agent evaluation frameworks • Experience working in domain-specific AI applications (e.g., healthcare, insurance, customer service). • Demonstrated ability to iterate quickly on prototypes and scale them into production-grade components.