What You’ll Do
- Design and build scalable systems and APIs that power agentic workflows from case activation through resolution.
- Push the frontier of AI-driven engineering, working on prompt orchestration, agent frameworks, and model evaluation loops.
- Collaborate closely with Product, Engineering, and domain experts to translate complex healthcare processes into reliable automations.
- Architect systems for scale and reliability, ensuring human escalation pathways are transparent and seamless.
- Play a key role in shaping the pod’s technical strategy, and mentor others as the team grows.
What You Might Work On
- Creating and optimizing AI pipelines to identify, categorize, and resolve errors in medical billing and insurance claims.
- Building automated agents and backend services that handle complex case flows with minimal human intervention.
- Integrating domain-specific healthcare knowledge into models and decision engines to improve accuracy.
- Developing tooling and infrastructure to measure and improve AI performance in real-world scenarios.
Requirements
- Bring 9+ years of backend engineering experience, ideally building production systems at scale.
- Are deeply curious about AI — from prompt engineering and agent orchestration to model evaluation.
- Excel at designing pragmatic solutions to complex technical challenges.
- Communicate clearly and collaborate effectively across disciplines.
- Thrive in high-autonomy, fast-moving environments.
(Bonus) Have experience with healthcare data, product engineering, ML systems, or web crawling.