Max AI Logo

Max AI

Full-Stack Engineer

Reposted 6 Days Ago
In-Office
San Francisco, CA, USA
140K-250K Annually
Senior level
In-Office
San Francisco, CA, USA
140K-250K Annually
Senior level
A Full-Stack Engineer responsible for managing the product lifecycle, creating scalable solutions for revenue cycle management, and collaborating closely with customers and a high-impact team.
The summary above was generated by AI
Max AI – Stripe for Healthcare

Max AI is the World’s first human-free, fully-autonomous medical billing AI agent.
Many startups are attempting to attack this problem because the market is so big — $350B/yr.

We have the best team going after it.

While everyone else still needs humans in the loop, we’ve cracked the code for medical billing starting with dermatology, and are rapidly adding support for every other specialty.
Medical doctors who code are rare. We have the best one in the world. His previous apps have driven 50M+ downloads, all while running an incredibly successful practice of his own where he literally did the billing by hand himself. Our Head of AI has been doing AI research at MIT and Caltech for over 10 years. And our Head of Engineering was one of the earliest engineers at Figma.


Full Stack Engineer

Responsibilities

  • Taking ownership of the entire product lifecycle—from initial concept to final deployment.
  • Creating scalable and reliable solutions aimed at optimizing revenue cycle management.
  • Working closely with a small, high-impact team while directly engaging with customers to facilitate significant enhancements.


Tech Stack

  • Languages & Frameworks: TypeScript, Nestjs, Python, Django
  • Client Application Technologies: Nextjs, React, Shadcn, Jotai
  • Database: Postgres, Redis, Clickhouse
  • Infrastructure: Kubernetes, AWS, Pulumi, ArgoCD, Kafka
  • APIs: tRPC, REST
  • Environment: Integrated full-stack development


Work Approach

  • Ownership of processes: Address challenges comprehensively instead of in isolated segments.
  • An agile and iterative approach with defined accountability.
  • Consistent customer engagement to ensure our product evolves in alignment with their requirements.


Core Values

  • A proactive approach: Identify and address problems, consistently driving enhancements.
  • A dedication to continuous learning and personal development.
  • A positive, collaborative spirit with a focus on team success.
  • A focus on simplicity in both design and execution.

Requirements

Required

  • 6+ years of full-stack development experience
  • Expertise in front-end frameworks (e.g., React or equivalent)
  • Strong back-end skills with a deep understanding of databases
  • Proven ability to build and deploy production-grade software at scale


Nice to have

  • Experience working at high-growth startups
  • Exposure to AI/ML projects or regulated industries
  • Advanced AWS knowledge

Benefits

Compensation

  • $140k - $220k USD
  • Equity


Platinum Healthcare

  • Medical (Platinum PPO)
    • Company covers 100% for employee, 80% for dependents
  • Dental (Platinum PPO)
    • Company covers 90% for employee, 75% for dependents
  • Vision (Platinum PPO)
    • Company covers 90% for employee, 75% for dependents


Perks

  • $250 per month (gym membership, classes, etc)
  • $2,000 annually (courses, mentorship, etc)
HQ

Max AI San Francisco, California, USA Office

660 Oak St, Suite 8, San Francisco, CA, United States, 94117

Similar Jobs

5 Days Ago
In-Office
125K-150K Annually
Senior level
125K-150K Annually
Senior level
Gaming
Design, build, and maintain internal web applications for performance capture; define technical roadmaps; collaborate with Production and cross-functional teams; mentor engineers; contribute to websites, APIs, and databases; ensure reliability, maintainability, and performance.
Top Skills: .NetC#GitJavaScriptReactRest ApisSQL
Yesterday
In-Office
San Jose, CA, USA
168K-168K Annually
Senior level
168K-168K Annually
Senior level
Automotive • eCommerce • Manufacturing
Build, deploy, and maintain end-to-end AI applications integrating ML models into web and mobile apps. Develop backend services and REST APIs, create responsive frontends, manage databases, and handle MLOps and containerized deployments. Collaborate with data scientists, product managers, and designers to scale AI-driven products.
Top Skills: AWSAzureCloud RunDjangoDockerFastapiGCPKubernetesLangchainNext.JsNode.jsNoSQLOpenai ApiPlotly DashPythonPyTorchReactRestful ApisScikit-LearnSQLTensorFlowVue
Yesterday
In-Office
San Francisco, CA, USA
200K-250K Annually
Senior level
200K-250K Annually
Senior level
Artificial Intelligence • Information Technology • Software • Database
Lead full-stack feature development, build scalable systems processing terabytes of audio, deploy and evaluate LLM/DSP solutions, drive research iteration for data collection, mentor engineers, and establish technical standards while shipping production-grade user experiences.
Top Skills: AWSDspFfmpegLlmNext.JsNode.jsPostgresTailwindcssTrigger.DevTrpcTypescriptWebrtc

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