Principal AI/ML Engineer

What you'll do

• Define the technical vision and architecture for agentic and LLM-based features across cloud and device platforms.
• Design and build agents that combine glucose history, model predictions, and user context to deliver actionable insights.
• Own agent orchestration, tool use, memory, and retrieval patterns while selecting models based on safety, cost, and latency.
• Establish guardrails to ensure agent responses remain within approved product and regulatory claims.
• Build evaluation frameworks with clinically grounded test sets to measure accuracy, safety, and user impact.
• Ensure all agent responses are traceable and auditable in compliance with design controls and regulatory requirements.
• Productionize time-series and personalization models into scalable, monitored services with defined latency and availability targets.
• Provide technical leadership and mentorship to the AI engineering team while leading architecture and design reviews.

What we're looking for

• Ph.D. or master’s degree in computer science, Machine Learning, or a related field.
• Minimum of 10+ years of software or ML engineering experience.
• Minimum of 3+ years of experience building LLM-based or agentic systems in production.
• Deep experience with agent frameworks, tool calling, retrieval-augmented generation, and prompt and model evaluation.
• Proven track record designing guardrails, safety controls, and evaluation pipelines for user-facing AI.
• Strong proficiency in Python and cloud platforms such as Azure, AWS, or GCP.
• Demonstrated technical leadership in setting architecture and standards across teams without direct authority.
• Experience in a regulated industry, medical devices, digital health, or SaMD (preferred).