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, 2–3 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 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.