Prime Intellect makes frontier AI accessible to everyone. We are both a full-stack platform and an open research lab, enabling individuals and organizations to train their own models by directly leveraging our state-of-the-art agentic training infrastructure.
We believe in a future where the ability to produce domain-specific frontier AI is democratized, and where everyone company can be an AI company that builds, trains, deploys, and ultimately owns their own models.
We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), and many others.
Position OverviewWe are seeking a Lead Design Engineer to build and shape the product experience of how our users train and evaluate models on our platform.
This is a novel design space, and you’ll work directly with our research teams on shaping the experience between using our software frameworks, CLI tools, and platform to with the goal of making it as easy as possible for any software engineer to learn to train models, without needing prior knowledge of AI/ML research.
You’ll also interface with our talented design team on levelling up our platform aesthetics and brand.
Core ResponsibilitiesProduct Development & Implementation
Design and implement interfaces across the platform covering compute orchestration and RL training
Translate complex backend systems into intuitive, production-ready product experiences
Own end-to-end product development from concept to deployment
Build and maintain a scalable design system with reusable components
Developer Experience Engineering
Build for technical audiences: AI engineers and general software engineers
Convert RL concepts into usable visual primitives and interactive workflows
Implement platform developer tools including onboarding flows and debugging interfaces
Create seamless interactions between frameworks and platform UI
Required Qualifications
Strong portfolio demonstrating shipped technical or data-driven tool interfaces
Proficiency with modern frontend frameworks (We use Next.js)
Experience designing and building for developers in technical domains
Familiarity with AI/ML concepts and workflows
Systems thinking: ability to create scalable, maintainable component architectures
Nice-to-Have Skills
Experience building ML research tools, IDEs, or developer platforms
Backend development capabilities (Python, Node.js)
Animation and interaction design
Data visualization experience
Design tool proficiency (We use Figma)
Compensation & Benefits
Competitive salary with significant equity
Remote-first with San Francisco hub option
Tool/software budget
Conference attendance opportunities
If you see design as more than visuals—if you shape experiences, interfaces, and systems with precision and intent—we want to build with you.
Apply now.
Top Skills
What We Do
Prime Intellect democratizes AI development at scale. Our platform makes it easy to find global compute resources and train state-of-the-art models through distributed training across clusters. Collectively own the resulting open AI innovations, from language models to scientific breakthroughs.
