Data Scientist-Data Science-Data Scientist

Job Description

Key Responsibilities Lead and mentor a team of LLM engineers and AI developers. Architect and oversee the development of agent-based systems using LangGraph, LangChain, AutoGen, or similar frameworks. Guide the design and deployment of scalable, production-grade LLM applications. Ensure best practices for fine-tuning, prompt engineering, and hybrid LLM usage. Oversee deployment on AWS/Azure with high performance and fault tolerance. Collaborate cross-functionally with product managers, data scientists, and DevOps. Requirements Deep knowledge of agent orchestration, task decomposition, and memory/tool usage in LLM workflows. Proven experience in fine-tuning LLMs with CUDA-based optimizations. Strong backend skills with FastAPI, Docker, and cloud deployment (AWS EC2, Lambda, AKS, etc.). Track record of delivering LLM applications into production environments. Experience with databases like MongoDB, PostgreSQL, or MySQL. Hands-on experience with at least one cloud platform: AWS, Azure, or GCP. Nice To Have Experience integrating async workflows (Celery, Ray) and event-driven architectures. Familiarity with LangServe, Haystack, and vector store orchestration. Open-source contributions or publications in LLM agent systems. Experience leading code reviews, architectural discussions, and sprint planning. Soft Skills Strong communication skills ? both verbal and written Excellent problem-solving and debugging skills Self-motivated with the ability to work independently and in a team Comfortable working with stakeholders across different time zones Working Hours General Shift: 1:30 PM to 11:30 PM IST Flexibility to extend hours based on critical deployments or support needs.