Staff AI Engineer

About Pair Team

Pair Team is building a new kind of healthcare system across Medicaid, Medicare, and public assistance programs: one that recognizes that access to housing, nutritious food, and reliable transportation are just as critical to health as having the right medications or seeing a doctor.

As a public benefit corporation and AI-enabled medical group, we partner with shelters, food pantries, and community organizations to deliver whole-person care to the 115 million Americans who rely on the safety net. We are currently the largest complex care provider in California with over 500 employees and are expanding nationally. Our model replaces fragmented healthcare and social services systems with one trusted relationship for all medical, behavioral, and social needs. We improve access, build trust, and dramatically lower costs (52% fewer ER visits, 26% fewer hospitalizations). Our model is a rare combination of saving tax payer dollars ($150B annually at scale) while putting people on an upward life trajectory.

About the Role

As a Staff AI Engineer, you will help design and build the architecture that enables this evolution, translating complex care processes into reliable, production-grade AI systems in close partnership with product and domain experts.

What You’ll Do

• Lead the design and evolution of agentic systems that participate directly in care delivery, helping coordinate care, engage patients, and execute meaningful portions of care workflows.
• Define and build architectural patterns for agent reasoning, tool use, memory, and human-in-the-loop collaboration.
• Develop both reusable platform capabilities and product-facing implementations, balancing long-term architecture with rapid iteration.
• Own complex problem spaces end-to-end — from system design and implementation through observability, evaluation, and continuous improvement in production.
• Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior.
• Establish standards and best practices for agent evaluation, safety, and operational reliability as these systems evolve toward greater autonomy
• Mentor engineers and influence technical direction across teams building agent-driven capabilities.

Who You Are

• Systems-Oriented Technical Leader: You think in systems, not features. You make strong architectural decisions, navigate trade-offs effectively, and help shape technical direction across teams.
• Applied Agentic AI Builder: You’ve built production agentic AI systems that perform meaningful work. You understand agent behavior, tool orchestration, stateful workflows, and the realities of operating AI systems in production.
• Product-Minded Engineer: You work closely with product managers and domain experts to define pro