Agentic AI Systems Developer - Remote (Toronto, ON, CA)

Design and build production-grade agentic AI systems for healthcare at NTT DATA using the NeuroStack Agentic Operating System. The role blends generative AI, classical ML, and full-stack engineering, with focus on LLM-powered RAG, tool-calling agents, multi-agent orchestration, and HIPAA-aware architectures on Azure. Collaborate with clinical SMEs and compliance teams to deliver AI solutions across diagnostics, care coordination, clinical documentation, and operational optimization.

• Design and implement agent-based AI workflows for healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
• 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
• Build full-stack applications: Python APIs, AI services, UI dashboards
• Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 preferred)
• Collaborate with subject-matter experts to translate medical workflows into agent logic
• Deploy, monitor, and optimize AI systems on Azure

• 8–12+ years of experience in AI/ML and software engineering
• Strong Python-based AI systems experience
• Hands-on experience with GenAI: LLMs, RAG, embeddings, prompt engineering