Tono Health Logo

Tono Health

Staff Software Engineer, Product

Posted 4 Days Ago
Be an Early Applicant
Hybrid
Brooklyn, NY
180K-275K Annually
Expert/Leader
Hybrid
Brooklyn, NY
180K-275K Annually
Expert/Leader
Build and operate full-stack features across Tono’s TypeScript monorepo, including database schemas, migrations, APIs, React interfaces, AI clinical tools, billing, telemetry, and durable platform infrastructure. Design reliable agent systems with evaluation, monitoring, human review, and safe fallbacks. Work closely with physicians and founders in a regulated healthcare environment while improving performance, maintainability, observability, and patient-facing workflows.
The summary above was generated by AI
About Tono

Specialty care is hard to access and even harder to run. Patients often wait months, and clinics rely on fragmented tools and manual workflows.

Tono builds software and operations together to make specialty care faster to access and easier to deliver, starting with dermatology.

We’re building a fully autonomous specialty medicine clinic: continuous, real-time care for patients anywhere.

What makes us different is how we build. We run two clinics of our own, a national telehealth practice and an in-person clinic in DUMBO, Brooklyn. Our engineers work side by side with our doctors and care coordinators to build (mostly) every piece of the software from scratch. The long-term goal is for specialty clinics across the country to run on our autonomous EHR, freeing them from the administrative burden that slows care down.

Today we see patients in 33 states, covering more than 80% of the US population.

You will work closely with the co-founders and a team of engineers and physicians (backgrounds include Amazon, Apple, and leading academic medical centers). We are backed by Village Global (backed by Mark Zuckerberg, Jeff Bezos, Michael Dell, chaired by Reid Hoffman), HOF Capital, and Oncology Ventures.

What You'll Do

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.

How We Work
  • 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

Infra: Cloudflare, Turborepo, Doppler, AWS, GCP

Observability: Posthog

Data: Motherduck/DuckDB, dbt, dlt, Prefect, BigQuery

What We're Looking For
  • 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

Compensation & Benefits

Salary: 180k - 275k commensurate with experience

Equity: Meaningful equity in a high-growth, venture-backed company

Medical: Medical, dental, and vision coverage

Growth: Direct access to founders and an agile team where your impact is highly visible. We do weekly demos with leadership

PTO: Unlimited PTO to recharge when you need it

Location

New York City preferred. We are hybrid and currently spend a few days per week in our DUMBO, Brooklyn office. We will consider fully remote for the right candidate.

Similar Jobs

15 Days Ago
In-Office
200K-400K Annually
Senior level
200K-400K Annually
Senior level
Artificial Intelligence • Software
Design and build scalable product systems for configuring, training, testing, deploying, monitoring, and evaluating AI agents. Partner with product, design, and customers to translate complex capabilities into intuitive self-service tools for enterprise use cases. Own features end to end, from architecture and implementation through deployment, debugging, and iteration. Develop agent workflows, observability and analytics tooling, configuration abstractions, and integrations for text and voice models.
Top Skills: Ai Agent SystemsAnalyticsAPIsAsynchronous ProgrammingAuthenticationData Access ControlsData VisualizationLlmsMonitoringMultimodal ModelsObservabilityPrompt EngineeringPythonTracingVoice Models
27 Days Ago
Remote or Hybrid
2 Locations
100K-300K Annually
Entry level
100K-300K Annually
Entry level
Hardware • Information Technology
Build and own user-facing features across Hercules’ AI Agent, App Builder, SDK, mobile app, and platform. Design scalable systems, APIs, data models, and high-quality code in a monorepo. Ship SaaS capabilities such as billing, analytics, feature flags, internationalization, and notifications. Apply strong product and UX judgment while working with TypeScript, React, Postgres, Redis, cloud infrastructure, and frontier AI coding tools.
Top Skills: Ai SdkAnthropicAWSAws CdkClickhouseCloudflareDockerDrizzle OrmGoogle AiHonoOpenaiOpentelemetryPostgresReactRedisTailwind CssTemporalTerraformTypescript
One Month Ago
Hybrid
231K-340K Annually
Senior level
231K-340K Annually
Senior level
Artificial Intelligence • Legal Tech • Professional Services • Software
Lead cross-team software engineering initiatives spanning web, desktop, mobile, embedded integrations, APIs, and AI-native capabilities. Build scalable retrieval, ingestion, agent, tool-calling, memory, evaluation, and security systems using React, TypeScript, Python, and Postgres. Define technical strategy, make major architecture and prioritization decisions, ship intuitive SaaS products, mentor senior engineers, and influence leaders across the organization.
Top Skills: Agent HarnessesAi AgentsAi EvaluationsAPIsClaude CodeCodexCSSCursorGoogle DocsMemory And Context ManagementMicrosoft WordOutlookPostgresPythonReactRetrieval SystemsSlackTailwindcssTool CallingTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account