> Markdown version of [/jobs/ext/4635063-staff-software-engineer-product](https://www.wearedevelopers.com/jobs/ext/4635063-staff-software-engineer-product). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff Software Engineer, Product

- **Company:** Tono, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Query Performance, Artificial Intelligence, Software Quality, Relational Databases, Database Schema, PostgreSQL, Open Source Technology, OpenAI, Next.js, TypeScript, ReactJS, Large Language Models, Backend, Stripe, Front End Software Development, Web Api
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25197_251f389141b4fe820201563194b26335

## About the Role

* Staff-level full stack experience building and operating production systems
 * Strong TypeScript skills across frontend and backend
 * Expert relational database fundamentals: schema design, migrations, query performance
 * Comfort shipping iteratively: feature flags, instrumentation, and tight feedback loops
 * You care about code quality because you take pride in your craft
 * You can drive outcomes. You have the ability to take an ambiguous problem, break it down into workstreams, manage and execute
 * You have worked on agent systems. Designing evals, data-labeling techniques, self-improving agent loops, LoRA fine tuning
 * Nice to have (not required): experience in startups, healthcare, regulated industries, complex domain modeling, or multi-tenant systems
 * You have built with AI/LLM APIs and understand what it takes to make them reliable in production

## Description

Own features end-to-end across a modern TypeScript monorepo: database schema design, Prisma migrations, tRPC API endpoints, and React components in our EHR and patient portal. Invest in platform to accelerate the rest of the team: building foundational agentic infra for others to build on top of, telemetry abstractions, realtime durability primitives, etc. On any given week you might be building an AI-powered clinical note editor, refactoring a Stripe billing flow, LoRA post-training on an open source model for clinical workflows, or digging into data to see where patients are dropping off in the intake funnel.

We build AI features that have to be reliable in production. That means structured outputs, evaluation loops, monitoring, human-in-the-loop review, and safe fallbacks. You will help turn LLM capabilities into tools clinicians actually want to use., * We ship quickly, with discipline: small PRs, clear ownership, and tight feedback loops.

 * Small team, broad scope. Engineers regularly work across frontend, backend, data, and infrastructure.
 * We ship with confidence in a regulated environment: feature flags, careful reviews, and safe migrations (including backfills). We use AI all the time but we do not vibe code our way into debt. Patients and doctors deserve better.
 * We invest in maintainability. Dependency upgrades, performance work, and removing dead code are part of the roadmap.
 * Observability is built-in. Logs, metrics, alerting, and error monitoring are part of the job.
 * We value builders. Curiosity, good taste, and a willingness to pick up whatever the system needs goes a long way.

Stack

Frontend: Next.js, TanStack Start, React

Backend: Fastify, tRPC, Prisma, PostgreSQL

Durable Workflows: Inngest

AI: Mastra, OpenAI, Anthropic, Vertex