AI agent Infrastructure Engineers

Mercor is hiring AI Agent Infrastructure Engineers on behalf of a leading AI Lab developing scalable systems to power the next generation of intelligent autonomous agents. This is a unique opportunity to work with world-class AI researchers and engineers building the infrastructure that enables advanced reasoning multi-agent coordination and real-world deployment of AI systems.

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 (4-hour windows 23 times per week) to review architecture decisions troubleshoot distributed systems 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 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 2030 hours per week including required synchronous collaboration sessions.

Why Join

• Work directly with a world-class AI research lab building the infrastructure behind tomorrows 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 2030 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.