Full Stack Software Engineer (San Francisco) Job at Stealth Startup, San Francisco, CA

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  • Stealth Startup
  • San Francisco, CA

Job Description

MAI is building Agentic AI technology to power the future of growth marketing. Our platform combines data science, engineering, machine learning and operations into an autonomous system that plans, executes, and optimizes media buying end-to-end. We're backed by top investors and working with a world-class team to redefine how businesses grow.

Who are you?

We’re looking for a Full Stack Engineer to join our founding team. In this role, you'll help design, build, and scale the core systems that drive our Agentic AI platform, from back-end infrastructure and data pipelines to intuitive user interfaces. You’ll collaborate closely with product, design, and AI teams to bring ideas to life and ship end-to-end features with real impact.

The ideal candidate is product-minded, highly autonomous, and comfortable working across the stack in fast-moving environments.

You will:

  • Build and maintain full-stack systems, from APIs and data models to UI components
  • Develop scalable back-end services using Python
  • Create clean, responsive front-ends using React, TypeScript, and modern UI frameworks
  • Design and evolve schemas and data pipelines across BigQuery and event systems
  • Define and document APIs (REST/GraphQL) used by internal and external systems
  • Collaborate on architecture decisions and technical direction for core systems
  • Ensure performance, reliability, and security across all layers of the stack
  • Move fast, own problems, and deliver production-ready code

Ideally you'd have:

  • 3–6 years of experience building and shipping full-stack or back-end systems
  • Strong fundamentals in computer science (algorithms, systems, data modeling)
  • Fluency in Python, and experience with modern web frameworks (e.g. FastAPI, Django)
  • Experience with front-end frameworks like React or Vue
  • Familiarity with SQL databases, caching systems, and cloud data warehouses
  • Exposure to cloud platforms (e.g. GCP, AWS) and containerization (Docker, Kubernetes)
  • Experience with event-driven architectures and integrating 3rd-party APIs
  • A product mindset: you care about user experience as much as code quality
  • Bonus: experience with marketing tech, ML-driven systems, or SaaS infrastructure

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Technology, Information and Internet

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Job Tags

Full time, Freelance, Remote work,

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