Software Engineer

David Joseph & Company; Palo Alto (CA); On-site; USD 150,000 - 175,000; Full time

Benefits offered by this job

1% equity

Lunch in office

Health insurance

Bay Club membership

Equinox membership

Job summary

David Joseph & Company is seeking a specialist to accelerate task creation for its RL training pipeline at a fast-paced startup in the San Francisco area. The role blends engineering, task design, and system architecture to deliver high-quality tasks and supporting tools.

You will own one core technical domain deeply and lead related engineering tasks, reporting to the CTO. In-person in Palo Alto/SF preferred; remote work is possible for exceptional candidates.

Qualifications

• 1–5 years engineering experience; exceptional candidates considered.
• Deep specialization in one domain (DevOps, MLE, systems design, Rust, algorithms, or equivalent).
• Strong software engineering fundamentals.

Responsibilities

• Own task construction for long-horizon RL tasks.
• Build internal tools to speed up task creation.
• Contribute to custom agent implementations for enterprise customers.
• Lead a division in a core technical domain and drive related tasks.
• Ship and iterate on systems powering the task-generation pipeline.

Skills

Engineering exp

Deep specialization

Strong fundamentals

In-person preferred

Remote possible

Job description

Details

Location: 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