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This job post has expired on December 20, 2025. It is likely that the position has already been filled.

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AI Agent Infrastructure Engineer at Mercor

posted 4 months ago
mercor.com Contractor remote $74-168/h 331 views

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

How to apply for this role
  • Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
  • Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
  • Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.
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