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Software Engineer, Fullstack

Sciforium· Engineering
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San Francisco, CAFull-timePosted 8mo ago

About the role

Software Engineer role focusing on building Sciforium’s core multimodal AI model serving platform, spanning C++, Python, runtime execution, and distributed infrastructure to deliver a fast, reliable real-time AI engine. Opportunity to work across frontend, backend, and developer experience with collaboration across ML researchers and systems engineers.

Responsibilities

  • Interactive AI Chat interface: Design and build a low-latency, chat-like interface for users to test our LLMs.
  • Developer Console: Build the mission-critical UI where users generate API Keys, set budget limits, and view real-time usage graphs
  • Payments & Billing: Integrate Stripe (or similar) to handle complex subscription models.
  • Documentation Portal: creating a dynamic API reference section
  • CLI/SDK Integration: Write simple client-side wrappers to help users connect to our API endpoints easily.
  • Backend APIs: Building secure API gateways and implementing low latency streaming solutions.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
  • 3+ years of software engineering experience, with a focus on front end development.
  • Strong proficiency in Typescript, Python.
  • Understanding of responsive design, and UX fundamentals
  • Strong collaboration and communication skills, with the ability to work effectively across engineering and ML teams.
  • Comfortable working from the office and contributing to a fast-moving, high-ownership team culture.

Skills

Required:TypescriptPythonFrontend development

Benefits

  • Medical, dental, and vision insurance
  • 401k plan
  • Daily lunch, snacks, and beverages
  • Flexible time off
  • Competitive salary and equity
Last updated Aug 7, 2026. Interested? Apply on the company site.

About Sciforium

Byte-Native AI Models & Infrastructure

Sciforium is pioneering the future of AI infrastructure and research. We're developing byte-native multimodal foundation models while delivering serverless LLM serving at a fraction of traditional costs

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