Requisition Description

- Robust 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

📌 Data Scientist (Bengaluru)
🏢 R Systems International
📍 Bengaluru