Product Engineer, Personal AI

The role

You will design, build, and launch user-facing product experiences across web and mobile stacks. You will architect backend services and integrate large language models into user workflows.

What you will do

• Design, build, and launch polished, responsive user-facing product experiences across modern web and mobile stacks.
• Architect high-performance backend services in Rust and Python.
• Integrate large language models into real user workflows.
• Own the core infrastructure needed to run a high-scale consumer AI product.
• Partner with research and infrastructure teams to take ambiguous ideas from prototype to production.

Required qualifications

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical industry experience.
• A proven track record of building and launching meaningful production software.
• Deep backend expertise with practical experience in Rust, Python, databases, APIs, distributed systems, and production architecture.
• Strong frontend or mobile capability with modern technologies such as TypeScript, React, React Native, Swift, or Flutter.
• Exceptional product judgment with the ability to reason backward from user needs.
• High degree of ownership to navigate ambiguity.

Nice to have

• Hands-on experience with LLM systems, including APIs, agents, tool calling, prompt iteration, eval frameworks, and inference constraints.
• Fluency with modern infrastructure and deployment platforms, including cloud environments, containers, Kubernetes, and Terraform or equivalent IaC.
• AI-native product instincts.
• Experience with systems reliability, including metrics, logs, alerts, and performance tuning for high-scale consumer products.

Benefits

• Comprehensive health, dental, and vision insurance
• unlimited PTO
• relocation assistance as needed

Before you apply

• We sponsor visas and are committed to supporting the process for the right candidate.

About the company

River AI's mission is to create personal AI owned and shaped by each individual. They are rewriting the entire stack from scratch, including personal hardware, training infrastructure, UIs, and deep learning research.