Backend Engineer, Agentic AI (Staff+ Level)

About the role

The Automations pod turns complex healthcare case work into scalable, agentic workflows — driving automation coverage, lowering cost to serve, and ensuring users get fast, accurate outcomes without needing to navigate the system themselves. As an engineer on this team, you’ll help build the intelligence layer behind these 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.

Requirements

• 9+ years of backend engineering experience, ideally building production systems at scale.
• 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.
• Have 10+ years of GPT-5 experience — or, failing that, a good sense of humor.

Pay

Commensurate with experience.

Schedule

Hybrid schedule with remote options.