Trellis AI Announces Full‑Stack Engineering Role to Revolutionize Healthcare Paperwork

Trellis AI, a Stanford AI Lab spin‑out backed by YC, General Catalyst, Telesoft Partners, and executives from Google and Salesforce, is expanding its engineering team in San Francisco, CA. The company is recruiting a full‑stack engineer to design and deploy autonomous AI agents that streamline the cumbersome paperwork process that currently consumes over 20 % of U.S. healthcare spending. ## Why Trellis Trellis positions itself as the "Stripe of healthcare billing and reimbursements," automating the intake of clinical documents, prior authorization workflows, and appeal filings for providers across all 50 states. By converting unstructured paperwork into clean, structured data that feeds directly into electronic health records (EHR), Trellis claims to reduce time to treatment by more than 90 % and to improve reimbursement rates. The company has experienced rapid growth, reporting a ten‑fold revenue increase in recent months and capturing a significant market share within specialty healthcare sectors. As a close‑knit team of 25 employees, Trellis boasts a world‑class roster that includes former Stanford graduate students, internationally recognized physicists, and founding engineers of unicorn startups. ## Role Overview Candidates will build agentic frameworks that enable the AI system to autonomously navigate complex reimbursement logic and prior authorization processes. Key responsibilities include: * Designing and implementing end‑to‑end full‑stack solutions that support continuous agent operation 24/7. * Developing production‑grade AI agents that can process vast amounts of clinical data, leveraging PyTorch, TensorFlow, and transformer‑based NLP models. * Ensuring robust evaluation of agent performance through a comprehensive testing suite. * Integrating relational (PostgreSQL) and non‑relational databases to support real‑time data ingestion and querying. * Collaborating directly with Fortune 500 customers and the founding team, wearing hats ranging from systems architecture to customer success. ## Technical Expectations * **Programming languages**: Proficiency in Python and Go. * **Machine learning/NLP libraries**: Hands‑on experience with PyTorch, TensorFlow, and the Hugging‑Face Transformers ecosystem. * **Full‑stack development**: End‑to‑end architecture, API design, front‑end and back‑end components. * **Data & ML infrastructure**: Familiarity with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and data pipelines. * **Database expertise**: Comfortable with both Postgres and NoSQL solutions. * **Open‑source mindset**: Prior contributions to open‑source projects are highly valued. ## Impact & Culture Employees at Trellis enjoy "extreme ownership" of key infrastructure components and the freedom to launch new initiatives that process billions of dollars in healthcare transactions. The team culture emphasizes rapid iteration, direct customer engagement, and collaboration with seasoned healthcare operations leaders who oversee more than 50 facilities. Candidates should be proactive, a fast learner, and possess a bias for action—qualities that align with the company’s high‑growth trajectory. ## Compensation Salary ranges from $100,000 to $225,000, with a 0.10 %–1.50 % equity offering, tailored to experience and performance. --- **About Trellis AI** Founded in 2024, Trellis AI focuses on building AI agents that automate the administrative burden of healthcare delivery. By converting messy, unstructured documents into structured data directly within providers’ EHR systems, Trellis enables faster patient care and higher reimbursement rates. The company’s mission is to eliminate pre‑service paperwork, allowing healthcare teams and pharmaceutical partners to treat more patients with less friction. **Key Metrics** * 90 % reduction in time to treatment. * 20 %+ improvement in prior‑authorization approval rates. * Structured data use leads to enhanced drug program performance. For those ready to join a fast‑moving, impact‑driven team at the intersection of AI and healthcare, Trellis AI offers a unique opportunity to shape the next generation of treatment workflows.