AI Agent Infrastructure Engineer at Mercor

AI Agent Infrastructure Engineer | $74–168/hr | Remote Worldwide

Join a leading AI Lab building scalable infrastructure to power the next generation of intelligent, autonomous agents. Work alongside world-class researchers and engineers developing systems that enable advanced reasoning, multi-agent coordination, and real-world AI deployment.

Responsibilities

• Design, build, and optimize infrastructure for training, deploying, and scaling AI agents across distributed systems
• Develop robust backend services, APIs, and orchestration frameworks supporting multi-agent workflows and high-performance compute environments
• Collaborate with research and product teams to integrate model-serving pipelines, memory systems, and reasoning components
• Implement monitoring, observability, and failover mechanisms ensuring 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 weekly) to review architecture decisions and iterate on design improvements

Requirements

• 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: Go, Rust, Python, or C++
• Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments (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 infrastructure behind tomorrow's intelligent agent ecosystems
• Influence the foundations of AI scalability, reliability, and deployment for real-world agent operations
• Enjoy schedule flexibility—select your own 4-hour collaboration windows and manage your 20–30 hour work week
• Collaborate with top systems engineers, researchers, and AI developers at the intersection of distributed systems and advanced intelligence
• Join a global network of technical experts shaping how next-generation AI agents reason, interact, and evolve at scale