<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>About The Job<br/><br/></strong><strong>Mercor</strong> connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include <strong>Benchmark</strong>, <strong>General Catalyst</strong>, <strong>Peter Thiel</strong>, <strong>Adam D'Angelo</strong>, <strong>Larry Summers</strong>, and <strong>Jack Dorsey</strong>.<br/><br/><strong>Position:</strong> Senior Agent Engineer<br/><br/><strong>Type:</strong> <strong>Contract<br/><br/></strong><strong>Compensation:</strong> <strong>$500/hour<br/><br/></strong><strong>Location:</strong> <strong>Remote<br/><br/></strong><strong>Role Responsibilities<br/><br/></strong><ul><li>Develop and ship production AI agents, including orchestration frameworks and eval harnesses.</li><li>Design and implement tool-use runtimes and multi-step workflows for agent systems.</li><li>Evaluate and improve retrieval systems that agents utilize for enhanced performance.</li><li>Collaborate on both frontier-lab and applied-product projects to innovate AI solutions.</li><li>Work independently and asynchronously to meet project goals with flexible hours.<br/><br/><br/></li></ul><strong>Qualifications<br/><br/></strong><strong>Must-Have<br/><br/></strong><ul><li>Experience in building in-house agent frameworks or cloud-agents runtime.</li><li>Expertise in eval infrastructure for agents, including offline and online systems.</li><li>Proficiency with tool-use, MCP, or orchestration layers.</li><li>Knowledge of memory, retrieval, or state-passing primitives for agents.<br/><br/><br/></li></ul><strong>Interview Process<br/><br/></strong><ul><li>20 mins async AI screen covering agent architectures and eval practices.</li><li>Live follow-up for top signals.<br/><br/><br/></li></ul><strong>Application Process (Takes 20–30 mins to complete)<br/><br/></strong><ul><li>Upload resume</li><li>AI interview based on your resume</li><li>Submit form<br/><br/><br/></li></ul><strong>Resources &amp; Support<br/><br/></strong><ul><li>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome</li><li>For any help or support, reach out to: support@mercor.com<br/><br/><br/></li></ul><em>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</em> </div>