AI Serving Engineer
US$190,000 – US$250,000 / yr base salary
Posted 15 Nov 2025
Advertised as “Senior AI Serving Engineer, Backend”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$190,000 – US$250,000 / yr |
|---|
Field of studyComputer Science, Engineering (or related)
Study levelBachelor's
Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.
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About the role**
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 low-level programming, care deeply about performance, and want exposure to the full AI stack, this role provides both high-impact work and strong growth potential.
What you'll do
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Build the model serving platform, including API, Control Plane, Billing, Monitoring, and distributed inference features.
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Collaborate with ML researchers to integrate new multimodal models into production workflows.
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Write reliable, maintainable code with strong testing and documentation practices.
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Provide operational support for keeping our production services highly performant, available and reliable
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Help troubleshoot complex issues across runtime, service, and GPU layers, working closely with other engineers.
Ideal candidate profile
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Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
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3+ years of software engineering experience, with a focus on infrastructure or machine learning systems.
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Strong proficiency in C++/Python/Go/Rust
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Experience with Kubernetes, Containerization
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Experience in building large scale ML/MLOps infrastructure
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Strong collaboration and communication skills, with the ability to work effectively across engineering and ML teams.
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Comfortable working from the office and contributing to a fast-moving, high-ownership team culture.