A growing number of AI companies are no longer focused on chatbots alone. Instead, they are targeting one of the biggest hidden problems in healthcare: paperwork.
One company pushing aggressively into this space is Trellis AI, a startup developing AI agents designed to automate complex healthcare administrative tasks. The company is currently hiring for a full-time Member of Technical Staff role in Product Engineering based in San Francisco, offering salaries ranging from $100,000 to $225,000 along with equity packages between 0.10% and 1.50%.
The role focuses heavily on full-stack engineering and product development. Interestingly, Trellis is open to candidates across all experience levels, including recent graduates, as long as applicants are either U.S. citizens or possess valid work authorization.
Trellis allows candidates to apply through a streamlined single-profile process that also connects applicants with other fast-growing startups backed by Y Combinator.
But the bigger story is not the job listing itself.
It is what the company is actually building.
Trellis uses AI agents to help healthcare providers and patients navigate some of the most frustrating parts of the medical system: prior authorizations, appeals, reimbursement verification, referral processing, and medical paperwork. These AI systems process enormous volumes of therapy-related transactions every year across all 50 states.
Instead of humans manually sorting through endless forms and documents, the AI can categorize referrals, interpret chart notes, search reimbursement contracts, identify insurance coverage details, and estimate patient cost responsibilities automatically. In many ways, Trellis is attempting to become the “Stripe” of healthcare billing and reimbursements — simplifying an industry buried under administrative complexity.
The company originated from the Stanford AI Lab and has attracted backing from major investors including Y Combinator, General Catalyst, and executives connected to Google and Salesforce.
From an engineering standpoint, the company is looking for developers comfortable working across modern AI and cloud infrastructure. Desired skills include Python, Go, relational databases such as Postgres, ML frameworks like PyTorch and TensorFlow, and experience with platforms such as AWS, Azure, Docker, and Kubernetes.
What makes this shift important is the scale of the problem.
Administrative costs now account for more than 20% of healthcare spending in the United States. That burden slows down approvals, delays treatments, increases operating costs, and often leaves patients waiting while providers battle insurance systems behind the scenes.
Trellis is betting that AI can dramatically reduce that friction.
Their AI agents are trained on massive amounts of clinical data and can transform unstructured medical paperwork into structured Electronic Health Record data far faster than traditional manual processing methods. According to the company, healthcare providers using the system have reduced treatment delays, improved prior authorization approval rates, accelerated reimbursements, and improved overall operational efficiency.
And this is where the bigger picture emerges.
At the end of the day, AI in healthcare is not just about futuristic robots or replacing doctors. What is happening first is much quieter — and arguably more practical. AI is being deployed to eliminate administrative bottlenecks, automate repetitive paperwork, and reduce the operational chaos that consumes healthcare systems every day.
The result is that doctors and providers spend less time buried in forms, patients receive faster access to medications and treatments, and healthcare organizations can process massive amounts of information more efficiently than ever before.
In many ways, the first major AI revolution in healthcare may not happen in the operating room.
It may happen in the paperwork department.
The Grey Ghost