San Francisco, CA · Palo Alto, CA · On-site (remote for truly exceptional candidates) · Full-time

Compensation: $150,000–$175,000 + 0–1% equity

About the Company

An early-stage AI company building RL training data and task-construction infrastructure for frontier AI labs, and deploying custom AI agents for enterprises and health systems. The team is scaling both its task-generation pipeline and its agent-deployment business.

Founded 2025 · 1–10 people (Seed) · Industry: AI Tools

The Role

Accelerate task creation for the company's RL training pipeline — a specialist role at the intersection of engineering, task design, and system architecture.

What you'll be doing

• Own task construction: design and build long-horizon, high-difficulty RL tasks that meet specifications within time constraints
• Build internal tools and infrastructure to help contractors create tasks faster and at higher quality
• Contribute to custom agent implementations for enterprise customers and health systems
• Own one core technical domain deeply (DevOps, MLE, systems design, Rust, algorithms, or full-stack) and lead that division of engineering tasks
• Ship and iterate on systems that power the core task-generation pipeline

Tech stack: Not specified.

Requirements

• 1 to 5 years engineering experience, flexible for exceptional candidates
• Deep specialization in one domain (DevOps, MLE, system design, Rust, algorithms, or equivalent)
• Strong software engineering fundamentals alongside the specialization
• Palo Alto/SF in-person preferred; remote open for truly exceptional candidates
• Startup pace 9am–9pm, six days a week; high-ownership role reporting to CTO

Green Flags

• Rare depth in one engineering area
• Grit and execution velocity
• Specialist who can also lead a division

Red Flags

• No clear specialization or jack-of-all-trades only
• Cannot articulate their specialization clearly

Why Join

• Build the RL task infrastructure that trains and evaluates frontier models
• Specialist, high-ownership seat reporting directly to the CTO, owning a full division of engineering work
• Perks: 1% equity, lunch or dinner in office, health insurance, Bay Club or Equinox membership

Details

• Location: San Francisco, CA · Palo Alto, CA
• Work policy: In-person preferred; remote for truly exceptional candidates
• Schedule: 9am–9pm, six days a week
• Compensation: $150,000–$175,000 + equity
• Visa sponsorship: H-1B, OPT
• Employment type: Full-time