Software Architect – Generative AI – Fullstack Engineer

March 18, 2026

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Job Description



Software Architect – Generative AI – Fullstack Engineer

About Us:

We are recruiting for an SF-based deep-tech startup building foundational ML models for multi-physics simulation. Our small, highly technical team includes multiple professors from top colleges like Berkeley, numerous PhDs, and even a Nobel Prize winner. We are well-funded and operate in a hybrid environment.

Working at the intersection of generative AI, physics, and high-performance computing, we tackle technically deep problems with massive real-world impact. As a Generative AI Engineer, you will design, train, and deploy advanced models, collaborate closely with domain experts, and translate cutting-edge research into scalable, production-ready systems.

The Position:

We are seeking a versatile Software Engineer to build and ship the core product experience. In this role, you will own the full stack – from the React/Next.js frontend and API layer to AI agent orchestration. This position is ideal for someone who thrives in a fast-paced startup environment and wants to shape how engineers interact with AI-powered multi-physics simulations.

You’ll Work On:

  • Design, build, and maintain the web platform.
  • Develop and integrate AI agent workflows.
  • Build and optimize RESTful APIs and backend services that power live pipelines.
  • Own frontend architecture, including interactive 3D visualization, responsive UI components, and real-time feedback.
  • Collaborate closely with research engineers to build intuitive interfaces.
  • Manage deployment, CI/CD, and infrastructure for the web platform.

Desired Qualifications:

  • Strong proficiency in TypeScript, React, and Next.js (App Router experience preferred).
  • Experience building full-stack web applications with RESTful APIs and modern frontend tooling (Tailwind CSS, Radix UI, or similar).
  • Hands-on experience with agentic frameworks (e.g., LangChain, LlamaIndex, or custom) and integrating AI models into production applications.
  • Familiarity with 3D visualization libraries or scientific data visualization is a plus.
  • Experience with cloud deployment, CI/CD pipelines, and infrastructure management (e.g., AWS, Vercel).
  • You have strong opinions about UI/UX, system design, architecture, and performance tradeoffs, and can defend them.
  • Education in Computer Science/Physics or related field.
  • Prior experience in a relevant full-time or internship experience preferred.