AI Systems Engineer – Remote $168/hr
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: AI Agent Infrastructure Engineer
Type: Contract Compensation: $74–$168/hour Commitment: 20–30 hours/week Role 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 to review architecture decisions, troubleshoot distributed systems, and iterate on design improvements.
Qualifications Must-Have
- Strong background in Computer Science, Software Engineering, or Systems Design.
- Experience with cloud computing (AWS, GCP, or Azure) and Docker and Kubernetes.
- Proficiency in Go, Rust, Python, or C++.
- Excellent collaboration and communication skills.
- Ability to commit 20–30 hours per week.
Preferred
- Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments.
- Knowledge of network optimization, data streaming, and caching architectures.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
AI Systems Engineer – Remote $168/hr
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: AI Agent Infrastructure Engineer
Type: Contract Compensation: $74–$168/hour Commitment: 20–30 hours/week Role 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 to review architecture decisions, troubleshoot distributed systems, and iterate on design improvements.
Qualifications Must-Have
- Strong background in Computer Science, Software Engineering, or Systems Design.
- Experience with cloud computing (AWS, GCP, or Azure) and Docker and Kubernetes.
- Proficiency in Go, Rust, Python, or C++.
- Excellent collaboration and communication skills.
- Ability to commit 20–30 hours per week.
Preferred
- Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments.
- Knowledge of network optimization, data streaming, and caching architectures.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,