Software Engineer, Fullstack

This role offers a unique opportunity to work on the core systems that power Sciforium’s multimodal AI models. You’ll help build the model serving platform working across C++, Python, runtime execution, and distributed infrastructure to create a fast, reliable engine for real-time AI applications.

You’ll gain hands-on experience with performance engineering, learn how large AI models are optimized and deployed at scale, and collaborate closely with ML researchers and experienced systems engineers. If you enjoy delighting customers with a great Developer Experience, care deeply about performance, and want exposure to the full AI stack, this role provides both high-impact work and strong growth potential.

Experience with ML systems engineering, open source inference engine like vLLM, Sglang, or TRT-LLM

Streaming Expertise: You understand the difference between WebSockets and Server-Sent Events (SSE) and know how to handle "jittery" network streams without freezing the UI.

Billing integration: Experience integrating Stripe Elements, managing webhooks for payment success/failure, and handling "SaaS" logic (pro-rating, tiers).

Documentation Mindset: You appreciate good DX (Developer Experience). You know how to render an API spec into a readable web page.

Python/Backend Knowledge: You can read a FastAPI or vLLM backend codebase to understand how data is being sent to you

Opportunity to build frontier-scale AI infrastructure powering next-generation LLMs and multimodal models.

Work with top-tier engineers and researchers across systems, GPUs, and ML frameworks.

Tackle high-impact performance and scalability challenges in training and inference.

Access state-of-the-art GPU clusters, datasets, and tooling.

Opportunity to publish, patent, and push the boundaries of modern AI

Join a culture of innovation, ownership, and fast execution in a rapidly scaling AI organization.

Sciforium is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.