Forward Deployed Engineer

Trellis builds and deploys computer use agents to get patients access to life-saving medicine. Computer-use AI agents process billions of dollars worth of therapies annually across all fifty states, automating document intake, prior authorizations, and appeals at scale. Spinout from Stanford AI Lab, backed by YC, General Catalyst, Telesoft Partners. What you'll build: Agentic frameworks for healthcare decision-making — AI systems that autonomously navigate complex reimbursement logic and prior authorization workflows. 24/7 AI co-workers — long-running agent workers that triage and process healthcare data around the clock. Production-grade AI systems — developed within a comprehensive evaluation suite. Requirements: Experience architecting, developing, and testing full-stack code end-to-end. Expertise in Python, Go and ML/NLP libraries such as PyTorch, TensorFlow, Transformers. Being proactive and a fast-learner with bias for action. Experience working with relational and non-relational databases, especially Postgres. Experience with data and ML infrastructure. Cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is a plus. Why: Real impact at massive scale — serve patients in all fifty states. Work with industry experts. Be at the forefront of AI in healthcare. Direct F500 customer engagement. Extreme ownership.