River AI
Product Engineer, Personal AI
$200K–$420K
Palo Alto, CA +1 · Full-time · Posted May 15, 2026
- Location
- Palo Alto, CA
Palo Alto, California, United States - Experience
- No specific number of years stated.
- Education
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical industry experience.
- Visa sponsorship
- The company sponsors visas and supports the process for the right candidate.
About the job
Build and launch end-to-end personal AI products, spanning user-facing web and mobile experiences, backend services, LLM workflows, and production infrastructure.
What you'll do
- Design, build, and launch responsive web and mobile product experiences and high-performance backend services.
- Integrate LLMs into user workflows, including tool use, memory, retrieval, structured outputs, and latency and cost optimization.
- Own infrastructure and reliability, and partner with research and infrastructure teams to take ideas from prototype to production.
What they ask for
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical industry experience.
- Proven track record of building and launching production software.
- Deep backend expertise and practical experience with 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.
Nice to have
- Hands-on experience with LLM systems, including APIs, agents, tool calling, prompt iteration, evaluation frameworks, and inference constraints.
- Experience with cloud environments, containers, Kubernetes, Terraform or equivalent IaC, or systems reliability.
Pay
$200,000 - $420,000 USD per year (base salary)
Tools
Rust, Python, TypeScript, React, React Native, Swift, Flutter, Kubernetes
AI focus
Integrate LLMs into user workflows and translate new model capabilities into production product experiences; work includes tool use, memory, retrieval, structured outputs, and optimizing latency and cost.
Model-written summary · the original posting is authoritative