My client is looking for a Lead Agentic AI Engineer to architect and scale production-grade agentic AI features for their digital health platform. You will turn advanced AI concepts into safe, reliable, and clinically meaningful functionality for pediatric care.
Key Responsibilities
- Design Agentic Systems: Build robust AI agents and workflows for context-aware assistance, workflow orchestration, and personalized care.
- Guarantee Safety & Compliance: Implement rigorous guardrails, explainability frameworks, and human-in-the-loop controls for regulated environments.
- Drive Engineering Excellence: Establish best practices for system architecture, evaluation, monitoring, and observability.
- Lead Collaboration: Partner with researchers, clinicians, and product teams while mentoring engineers.
Qualifications
- Experience: 5+ years in software or AI engineering, with proven experience shipping production LLM or agentic systems.
- Tech Stack: Strong expertise in Python, LLM patterns, workflow orchestration, multimodal AI, and cloud-native architectures.
- Core Skills: Deep understanding of distributed systems, API design, data privacy, and secure pipeline operations.
- Education: Master’s degree in Computer Science, AI, or a related technical field (PhD is a plus).
- Languages: Full professional fluency in English.
