Senior AI Platform Engineer

Senior Full-Stack Engineer, AI Platform

Location: San Francisco Bay Area (Hybrid)
Compensation: $180,000 - $260,000 + Equity

Who Are We?

We are pioneering AI infrastructure, empowering leading research labs and enterprises to develop next-generation AI models. 

What's In It for You?

• Compensation: $180,000 - $260,000 + Equity
• Develop AI Training Infrastructure Design scalable systems that enable AI trainers to provide high-quality human feedback for large-scale AI models.
• Enhance Product Capabilities Build and refine features that improve user experience, system performance, and platform adoption.
• Solve Complex Engineering Challenges Work on high-performance backend systems, real-time data pipelines, and frontend integrations.
• Ensure System Reliability Proactively monitor, troubleshoot, and optimize cloud-based systems for maximum uptime and performance.
• Drive Engineering Excellence Lead improvements in coding standards, best practices, and system architecture.
• Contribute to AI Advancement Work closely with LLM-backed AI services (OpenAI, Anthropic, Google) and integrate AI models into real-world
• High-Impact Work Develop scalable, high-performance systems for AI training and human-in-the-loop data alignment.
• Technical Excellence Build cutting-edge AI development tools alongside industry leaders.
• Fast-Paced Innovation Take ownership, move fast, and deliver impactful solutions.
• Continuous Growth Engage with complex engineering challenges and expand your skillset.
• Clear Ownership Work autonomously with well-defined responsibilities and directly influence the future of AI applications.

What Will You Need?

Required Experience:

• 4+ years of full-stack development experience, building scalable, user-centric applications.
• 2+ years of frontend experience using React, Redux, Angular, or similar frameworks.
• Proficiency in TypeScript, Node.js, and GraphQL, with additional experience in Python, Kubernetes, and Google Cloud (MySQL, Spanner, GCS, PubSub).
• Experience building large-scale, high-performance backend systems that support real-time AI applications.
• Proven ability to own and deliver end-to-end engineering solutions, from architecture to deployment.
• Hands-on experience integrating AI services into software applications.
• Strong problem-solving skills, with a focus on optimizing scalability, security, and performance.
• A disciplined approach to software development, including testing, documentation, and best practices.
• Strong communication skills, with the ability to collaborate cross-functionally with product, design, and AI teams.

Preferred Experience (Nice to Have):

• Experience with AI-powered applications and leveraging LLM-backed services.
• Familiarity with data visualization and streaming systems.
• Knowledge of container orchestration (Kubernetes) and cloud-native services.
• Understanding of large-scale database architectures (MySQL, Spanner, PostgreSQL). 

Why Join Us?

This is an opportunity to own and shape the future of AI training and alignment, working at the intersection of AI infrastructure, data systems, and human-in-the-loop AI development. If you are passionate about scaling AI-powered applications, thrive in high-growth AI environments, and want to build AI platforms that push the boundaries of what's possible, we want to hear from you.