Backend Engineer, Agentic AI (Staff+ Level)

About the role

As an engineer on the Automations pod, you’ll help build the intelligence layer behind agentic workflows — designing distributed systems, integrating AI models, and ensuring everything runs reliably at scale.

Responsibilities

• 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.

Nice to have

• Experience with healthcare data, product engineering, ML systems, or web crawling.
• 10+ years of GPT-5 experience — or, failing that, a good sense of humor.