Technology Manager

AI Agent Development:

• End-to-end experience building AI agents, including prompt engineering, model evaluation, and agentic workflows.
• Improve ML models using latest technologies and techniques to increase the relevance of our targeting and outreach.
• Manage LLM token budgets, latency, and performance through smart routing and caching.

Technical Leadership:

• Comfortable being in the code while also setting technical direction and strategy.
• Oversee data ingestion and tagging pipelines that process healthcare claims data for ML models.
• Build tools and dashboards to monitor, evaluate, and improve agent performance.

Backend Engineering:

• Design and build the autonomous system that takes 'high risk' signals and triggers coordinated Email, SMS, and Voice outreach at scale.
• Build the backend systems that power our AI concierge—enabling agents to intelligently reach out, engage, and guide members through their care journey.
• Strong backend architecture skills — you can design scalable systems, not just train models.