Backend Engineer, Agentic AI (Staff+ Level)
Build scalable backend systems and AI-driven agentic workflows to automate healthcare claim resolutions and billing error corrections. Requires 9+ years backend experience with strong AI interest, including prompt engineering and model evaluation.
About the job
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.
Skills
Python, Java, Go, Postgres, Redis, Kubernetes, Docker, AWS, Prompt Engineering, Agent Frameworks, LLMs, Distributed Systems, APIs, Ml Systems, Healthcare Data
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