Responsibilities
- Design and deploy multi-agent systems that support care coordination and patient engagement at scale.
- Develop the taste behind agentic engagementβhow our agents communicate, reason, and collaborate with human care teams.
- Iterate on the agent 157 care team interface, defining the user experience for human-in-the-loop collaboration within our core platform.
- Prototype and pilot new LLM use cases to accelerate Pair9s impact, from intake to outreach to ongoing member management.
- Own internal data labeling and eval products, including tooling, workflows, and partner integrations.
- Manage LLM operations14trace annotation, eval development, model monitoring, and human feedback loops.
- Collaborate cross-functionally with engineering, clinical ops, and design to translate complex real-world workflows into scalable AI systems.
Requirements
- Proven track record shipping and iterating on AI or consumer-facing conversational products.
- Deep familiarity with LLM-based product development, prompt engineering, multi-agent orchestration, and evaluation frameworks.
- Experience defining product strategy and success metrics for early-stage, ambiguous problem spaces.
- Data-driven, first-principles thinker who thrives in high-velocity, cross-functional environments.
- Collaborative leader with a strong sense of ownership and a deep personal connection to our mission.
Company
- Public benefit company focusing on transforming healthcare and social care integration using AI technology.
