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.

• 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.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.