**About The Job** **Mercor** connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include **Benchmark** , **General Catalyst** , **Peter Thiel** , **Adam D'Angelo** , **Larry Summers** , and **Jack Dorsey** . **Position:** AI Agent Infrastructure Engineer **Type:** **Contract** **Compensation:** **$74–$168/hour** **Commitment:** **20–30 hours/week** **Role Responsibilities** - Design, build, and optimize infrastructure for training, deploying, and scaling AI agents across distributed systems. - Develop robust backend services, APIs, and orchestration frameworks that support multi-agent workflows and high-performance compute environments. - Collaborate closely with research and product teams to integrate model-serving pipelines, memory systems, and reasoning components. - Implement monitoring, observability, and failover mechanisms to ensure high system reliability and fault tolerance. - Evaluate and refine infrastructure performance, identifying bottlenecks and improving efficiency across data, compute, and model layers. - Participate in synchronous collaboration sessions to review architecture decisions, troubleshoot distributed systems, and iterate on design improvements. **Qualifications** **Must-Have** - Strong background in Computer Science, Software Engineering, or Systems Design. - Experience with cloud computing (AWS, GCP, or Azure) and Docker and Kubernetes. - Proficiency in Go, Rust, Python, or C++. - Excellent collaboration and communication skills. - Ability to commit 20–30 hours per week. **Preferred** - Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. - Knowledge of network optimization, data streaming, and caching architectures. **Application Process (Takes 20–30 mins to complete)** - Upload resume - AI interview based on your resume - Submit form **Resources & Support** - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome - For any help or support, reach out to: [email protected] *PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.* ,