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)

- Solid 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

📌 Ai ML Engineer (Noida)
🏢 R Systems International
📍 Noida