Software Engineer, AI Engineer (Applied/Software), Backend Developer
Job in
Palo Alto, Santa Clara County, California, 94306, USA
Listed on 2026-07-27
Listing for:
David Joseph & Company
Full Time
position Listed on 2026-07-27
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Software Engineer
Job Description & How to Apply Below
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 CompanyAn 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
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 (Dev Ops, 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 (Dev Ops, 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
- Rare depth in one engineering area
- Grit and execution velocity
- Specialist who can also lead a division
- No clear specialization or jack-of-all-trades only
- Cannot articulate their specialization clearly
- 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
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