Granted is a seed-stage company focused on simplifying the US healthcare system through AI-driven solutions. The role involves designing scalable systems and APIs for automating complex healthcare workflows, collaborating with various teams to enhance operational efficiency.
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
- 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:
- 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
- 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