Manager

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 writtenExcellent problem-solving and debugging skillsSelf-motivated with the ability to work independently and in a teamComfortable working with stakeholders across different time zonesWorking Hours:General Shift: 1:30 PM to 11:30 PM ISTFlexibility to extend hours based on critical deployments or support needs.