Member of Technical Staff (full-time)
About the role
Trellis AI builds and deploys AI agents to accelerate access to life-saving medications at the point of care. The company has seen rapid revenue growth and aims to create a large, connected network across providers, payors, and life sciences to help patients get the right treatments faster.
Responsibilities
- Experience architecting, developing, and testing full-stack code end-to-end
- Design and implement AI systems that autonomously navigate complex reimbursement logic and prior authorization workflows
- Build and deploy long-running agent workers that triage and process healthcare data around the clock
- Develop production-grade AI systems within Trellis' evaluation suite to ensure production-ready performance
Qualifications
- Experience architecting, developing, and testing full-stack code end-to-end
- Expertise in Python, Go and ML/NLP libraries such as PyTorch, TensorFlow, Transformers
- Proactive and fast learner with bias for action
- Experience with relational and non-relational databases, especially Postgres
- Experience with data and ML infrastructure
- Open source contributions and projects are a big plus
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is a plus
Skills
About Trellis AI
AI for streamlining healthcare paperwork
Trellis helps healthcare providers treat more patients, faster—while eliminating pre-service paperwork. We automate document intake, prior authorizations, and appeals at scale to streamline operations and accelerate care. Our AI agent is trained on millions of clinical data points and converts messy, unstructured documents into clean, structured data directly in your EHR. With Trellis, leading healthcare providers and pharmaceutical companies were able to: 1. Reduce time to treatment by over 90% 2. Improve prior authorization approval and reimbursement rates 3. Leverage structured data to enhance drug program performance and clinical decision-making Administrative costs account for over 20% of U.S. healthcare spending—delaying care, draining revenue, and driving staff burnout while having less visibility into patient care than ever before. We built Trellis to tackle this head on.
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