Trellis AI logo

Member of Technical Staff (full-time)

Trellis AI

San Francisco, CAFull-timeSeen 1mo agoStill listed 2 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Trellis builds AI agents that improve patient access to life‑saving medicines, deploying production‑grade decision‑making systems across thousands of healthcare locations. The role offers impact at massive scale, direct customer engagement with Fortune‑500 clients, and ownership of critical technical infrastructure in a fast‑growing healthcare AI company.

Skills & qualifications

RequiredNice to have

Skills

Full‑Stack DevelopmentPythonGoPyTorchTensorFlowTransformersProactiveFast LearnerPostgresRelational DatabasesNon‑Relational DatabasesData InfrastructureML InfrastructureAWSAzureGCPDockerKubernetes

Full job 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

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.