Ai ML Engineer

Requisition Description. Strong handson experience with Python and ML fundamentals. Proven experience designing Agentic AI systems, including:. Multiagent workflows. Tool/function calling. Memory and state management. Planning and decision loops. MLOps. Expertise with LLMs, prompt engineering, and RAG architectures. Experience with agent frameworks (e.g., LangGraph, CrewAI, AutoGen, similar). Familiarity with vector databases, embeddings, and semantic search. Understanding of AI deployment, monitoring, safety, and evaluation. Experience working with cloud platforms (Azure / AWS / GCP). Strong communication, consulting, and leadership skills. Healthcare iRCM , Logistic Domain Experience. Roles & Responsibility. Lead endtoend design and delivery of Agentic AI solutions using LLMs, tools, and orchestration frameworks. Architect and build multistep, goaldriven AI agents with memory, planning, and toolcalling capabilities. Design RAGbased and toolaugmented agent workflows for enterprise use cases. Own model integration, prompt strategies, evaluation, and production readiness. Act as technical lead for Agentic AI workstreams. Mentor Data Scientists and AI Engineers on agent design patterns and best practices. Collaborate with Data Engineering, MLOps, Cloud, SMEs and Product teams. Present technical outcomes, and tradeoffs to client stakeholders. Contribute to reusable agent frameworks, accelerators, and PoCs. Be able to technically lead AI RCM solutioning

Experience required: 6 - 10 years. Education: Graduation Not Required. Location: Noida, Pune. Employment type: Full Time, Permanent.