AI agent Infrastructure Engineers

• 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 (4-hour windows, 2-3 times per week) to review architecture decisions, troubleshoot distributed systems, and iterate on design improvements.

• Strong background in Computer Science, Software Engineering, or Systems Design, with focus on large-scale distributed infrastructure.
• Experience with cloud computing (AWS, GCP, or Azure) and containerization/orchestration tools such as Docker and Kubernetes.
• Proficiency in backend programming languages such as Go, Rust, Python, or C++.
• Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments is a strong plus.
• Knowledge of network optimization, data streaming, and caching architectures preferred.
• Excellent collaboration and communication skills.
• Ability to commit 20-30 hours per week, including required synchronous collaboration sessions.

Why Join * Work directly with a world-class AI research lab building the infrastructure behind tomorrow's intelligent agent ecosystems. * Influence the foundations of AI scalability, reliability, and deployment, enabling complex agents to operate in real-world environments. * Enjoy schedule flexibility - select your own 4-hour collaboration windows and manage your 20-30 hour work week. * Be engaged as an hourly contractor through Mercor, giving you autonomy while contributing to mission-critical AI infrastructure projects. * Collaborate with top systems engineers, researchers, and AI developers working at the intersection of distributed systems and advanced intelligence. * Join a global network of technical experts shaping how the next generation of AI agents reason, interact, and evolve at scale.