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Founding Full Stack Engineer

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Stealth Post-LLM Startup
Full Time position
Listed on 2026-02-12
Job specializations:
  • Software Development
    Full Stack Developer, Software Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

The Role

As our Founding Full Stack Engineer, you will work directly with the CTO and research team to build the tooling that makes our models observable, testable, and usable. You will own the entire application layer, from the database that stores model "beliefs" to the frontend that visualizes the model's reasoning trace in real-time.

What You Will Build
  • High-performance visualization tools (think D3.js or Three.js) that allow researchers to inspect model attention, memory retrieval, and reasoning paths dynamically.
  • Robust pipelines that allow us to test the LTM against complex benchmarks and track performance degradation or improvement over time.
  • Designing the high-concurrency APIs that will eventually serve the LTM to the world.
The Stack
  • Frontend:
    React, Type Script, Tailwind, Next.js. We value speed and type safety.
  • Infrastructure:
    Postgres (Vector extensions), Redis, AWS/GCP, Docker.
Who You Are
  • A Systems Thinker:
    You understand that a "full stack" isn't just a database and a div; it's understanding how latency in the backend affects the user experience in the frontend.
  • Production-Grade:
    You have 5+ years of experience shipping code that doesn't break. You write clean APIs and care about database indexing.
  • Curious about AI:
    You don't need to be an NLP researcher, but you should be excited to learn how embeddings work so you can visualize them better.
  • High Agency:
    You spot a problem, you fix it. You don't wait for a ticket.
Bonus Points
  • Experience with WebGL, Three.js, or canvas-based rendering.
  • Experience building tools for ML teams (e.g., modifying MLFlow, Weights & Biases, or custom annotation tools).
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