# Product Engineer, Personal AI at River AI Inc.

Product Engineer, Personal AI at River AI Inc. in Palo Alto, CA. Remote, paying $200k–$420k. Posted May 15, 2026.

- Company: River AI Inc.
- Location: Palo Alto, CA
- Workplace: Remote
- Pay: $200k–$420k
- Posted: 2026-05-15
- Apply: https://job-boards.greenhouse.io/riverai/jobs/4250000009
- Source: https://jobmagic.ai/jobs/product-engineer-personal-ai-river-ai-inc-1082yj

## Requirements

- 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, ideally in consumer products, large-scale systems, or high-growth startups.
- 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, alongside a high degree of ownership to navigate ambiguity.

## Description

At River AI, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, bespoke training infrastructure, next-generation UIs, and frontier deep learning research.

### Who we are

We are scientists, engineers, and builders from the industry's top tech companies and AI labs. We bring a proven track record of scaling consumer systems for hundreds of millions of users and architecting the pre-training infrastructure behind today's frontier models.

### About the Role

We are seeking exceptional product engineers who can move seamlessly across the stack: backend systems, web and mobile surfaces, LLM-powered workflows, infrastructure, reliability, and product iteration.

You will work close to the model, close to the user, and close to production, taking end-to-end ownership to turn new AI capabilities into software people use every day.

### What You’ll Do

- **Design, build, and launch** polished, responsive user-facing product experiences across modern web and mobile stacks, partnering closely with design.

- **Architect high-performance backend services** in Rust and Python, managing APIs, data systems, job queues, event pipelines, and distributed systems at scale.

- **Integrate large language models** into real user workflows, managing tool use, memory, retrieval, structured outputs, latency optimization, and cost control.

- **Own the core infrastructure** needed to run a high-scale consumer AI product, including deployment, monitoring, CI/CD, cloud infrastructure, and incident response.

- **Partner with research and infrastructure teams** to take ambiguous ideas from prototype to production, translating new model capabilities into understandable and trustworthy product experiences.

### Skills & Qualifications

**Minimum 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, ideally in consumer products, large-scale systems, or high-growth startups.

- 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, alongside a high degree of ownership to navigate ambiguity.

**Preferred Qualifications:** *(We encourage you to apply even if you don't meet all of these)*

- 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, with an understanding that LLM products require continuous evaluation, instrumentation, and close attention to real user behavior.

- Experience with systems reliability, including metrics, logs, alerts, and performance tuning for high-scale consumer products.

### Logistics & Benefits

- **Location:** Palo Alto, California.

- **Compensation:** Depending on experience and skills the expected base pay is $200,000 - $420,000 USD per year, plus equity.

- **Benefits:** Comprehensive health, dental, and vision insurance; unlimited PTO; and relocation assistance as needed.

- **Visa Sponsorship:** We sponsor visas and are committed to supporting the process for the right candidate.