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Member of Technical Staff (full-time)

Trellis AI · runtrellis.com
San FranciscoLead / Manager
Apply on Trellis AI’s site

Straight from the company’s own careers site.

The job in short

Build and deploy AI agents for healthcare prior authorization and reimbursement workflows.

PythonPostgresAWSAzureGCPKubernetesDockerNLPPyTorchTensorFlowTransformersAgentic

Details

Found
30 d ago · posted 2026-03-23
Location
San Francisco, California, US

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 • 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. • 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. • Be at the forefront of AI in healthcare: Build production-grade agentic systems that make critical healthcare decisions, backed by robust evaluation frameworks. • Direct customer engagement: Work closely with F500 customers and the founding team. You'll wear multiple hats from technical architecture to customer success. • Extreme ownership: Own key parts of Trellis's technical infrastructure and have opportunities to launch new initiatives that process billions in healthcare transactions. • 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. • 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 • Agentic frameworks for healthcare decision-making: Design and implement AI systems that autonomously navigate complex reimbursement logic and prior authorization workflows. • 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. • 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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