Trellis AI uses AI agents trained on large clinical data to convert unstructured documents into structured data within EHRs, aiming to reduce time to treatment, improve prior authorization success, and lower administrative costs in U.S. healthcare.

The company focuses on real impact at scale through collaboration with healthcare operations leaders and direct engagement with Fortune 500 customers, owning core infrastructure in a fast-growing startup with rising revenue and momentum.

Candidates should have end-to-end full-stack development experience and be proficient with Python, Go, ML/NLP libraries (PyTorch, TensorFlow, Transformers), PostgreSQL, cloud and container technologies, with open-source contributions considered a plus.

Trellis AI, a YC-backed healthcare AI startup, is hiring a Forward Deployed Engineer in San Francisco, offering a total compensation range around six figures plus equity.

In deployments, the company reports time-to-treatment reductions of over 90%, improved reimbursement outcomes, and potential to scale across hundreds of locations to serve patients nationwide.

The role involves building and deploying computer-use AI agents to automate healthcare document intake, prior authorizations, appeals, and related workflows to improve patient access to therapies across all fifty states.

Trellis automates tasks like classifying medical referrals, interpreting chart notes, and automating contract and reimbursement searches to deliver accurate coverage determinations and cost responsibility, positioning itself as a billing/reimbursement platform for healthcare.