Data Scientist

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