about 2 months ago
San Francisco, CA, USAMid Level / Senior
Base Salary
$130k - $500k/yr
Responsibilities
- Build and maintain MCP servers for structured access to Mercor’s platform.
- Design and implement evaluation frameworks for agent decision quality.
- Develop action queues and playbook orchestration systems for multi-step workflows.
- Instrument agent systems to capture outcomes and enable feedback loops.
- Collaborate with operators to identify automation opportunities and translate them into agent behaviors.
- Debug and harden agent systems in production for reliability at scale.
- Contribute to foundational patterns and infrastructure for company-wide use.
Requirements
- Strong backend engineering fundamentals in Python or equivalent modern language.
- Experience with LLM APIs, including tool use and multi-step reasoning workflows.
- Comfort in designing evaluation frameworks and understanding agent failure modes.
- Ability to ship quickly and iterate on real-world interacting systems.
- Understanding of distributed systems, APIs, and production infrastructure.
- Full-stack experience is a plus for increased impact.
Benefits
- Generous equity grant vested over 4 years.
- $10K housing bonus for living within 0.5 miles of the office.
- $1.5K monthly stipend for meals.
- Free Equinox membership.
- Health insurance.