Member of Technical Staff (full-time)
Trellis AI · runtrellis.com
San FranciscoLead / Manager
The job in short
Build and deploy AI agents for healthcare prior authorization and reimbursement workflows.
PythonPostgresAWSAzureGCPKubernetesDockerNLPPyTorchTensorFlowTransformersAgentic
Details
- Found
- 22 d ago · posted 2026-03-23
- Location as listed
- San Francisco, California, US
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full description
Trellis builds and deploys computer use agents to get patients access to life-saving medicine.
Trellis deploys AI agents at the point of care to accelerate access to life-saving medications. Trellis has grown revenue 10x over the past six months, signed multiple seven-figure contracts, partnered with many of the largest healthcare providers across all 50 states, and helped process $10B+ in therapies. Our goal is to build the largest connected network across providers, payors, and life sciences to help patients get the right treatment faster.
🧍🏻♂️Why work with us
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Real impact at massive scale: We serve patients in all fifty states and are scaling to hundreds of healthcare locations. You'll directly see the number of patients who received treatment because of the agents you built.
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Work with industry experts: Apply your AI alongside healthcare operations leaders who have overseen 50+ healthcare locations, gaining deep domain expertise while building cutting-edge technology.
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Be at the forefront of AI in healthcare: Build production-grade agentic systems that make critical healthcare decisions, backed by robust evaluation frameworks.
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Direct customer engagement: Work closely with F500 customers and the founding team. You'll wear multiple hats from technical architecture to customer success.
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Extreme ownership: Own key parts of Trellis's technical infrastructure and have opportunities to launch new initiatives that process billions in healthcare transactions.
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World-class team: Join team members who have won international physics olympiads, published economics research, were founding engineers at unicorn startups, and taught AI classes to hundreds of Stanford graduate students.
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Incredible growth and traction: We've grown revenue 10x in the past few months alone and have XX% market share in the specialty healthcare markets we serve.
What you'll build
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Agentic frameworks for healthcare decision-making: Design and implement AI systems that autonomously navigate complex reimbursement logic and prior authorization workflows.
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24/7 AI co-workers: Build and deploy long-running agent workers that triage and process healthcare data around the clock, functioning as reliable digital teammates for care teams.
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Production-grade AI systems: Develop your agents within our comprehensive evaluation suite, ensuring production-ready performance from day one.
Requirements
• Experience architecting, developing, and testing full-stack code end-to-end
• Expertise in programming languages such as 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
• Open source contributions and projects are a big plus
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus
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