AI Infra Full-Stack Engineer — Real-Time UI/Backend, Equity

Sciforium; San Francisco (CA); On-site; USD 165,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401k plan

Daily lunch, snacks, and beverages

Flexible time off

Competitive salary and equity

Job summary

Sciforium is an AI infrastructure company building next‑generation multimodal AI models and a high‑efficiency serving platform. This role centers on the core systems powering our models, spanning C++, Python, runtime execution, and distributed infrastructure to deliver a fast, reliable real‑time engine.

You will work with ML researchers and systems engineers to optimize performance, deploy large AI models at scale, and deliver excellent Developer Experience through a responsive, user‑friendly

Qualifications

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

Responsibilities

• Design and build a low-latency, chat-like interface for testing LLMs.
• Develop the mission-critical Developer Console for API Keys, budgets, and real-time usage.
• Integrate Stripe or similar for subscriptions and billing.
• Create a dynamic API reference in the documentation portal.
• Build client wrappers for easy API access (CLI/SDK).
• Develop secure Backend APIs and low-latency streaming solutions.

Skills

Typescript

Python

Front-end

UX

Education

BSc Computer Science

Job description

Sciforium is an AI infrastructure company building next‑generation multimodal AI models and a high‑efficiency serving platform. This role centers on the core systems powering our models, spanning C++, Python, runtime execution, and distributed infrastructure to deliver a fast, reliable real‑time engine.

You will work with ML researchers and systems engineers to optimize performance, deploy large AI models at scale, and deliver excellent Developer Experience through a responsive, user‑friendly