AI agent Infrastructure Engineers

Berlin - Germany

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

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.

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 adva...

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.