Key Responsibilities

• Design and implement agent-based AI workflows for different domains such as:
• Healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
• Design agentic AI architectures for manufacturing workflows
• Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
• Implement RAG over financial documents, policies, contracts, and filings
• Build LLM-powered systems (RAG, tool‑calling agents, multi‑agent orchestration)
• Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)
• Implement HIPAA aware AI architectures with auditability and traceability
• Implement GenAI systems using RAG over CRM, customer data, and content
• Build full‑stack applications (Python APIs, AI services, UI dashboards)
• Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferr...