Distributed Systems Engineer - Remote Opportunity in AI

About the Role

We are excited to announce a Remote Distributed Systems Engineer position that offers a unique opportunity to work with a leading frontier AI research laboratory. This role is perfect for experienced software engineers with a strong background in distributed systems, backend infrastructure, and cloud environments. As a Remote Distributed Systems Engineer, you will play a crucial role in building scalable systems that power the next generation of intelligent, autonomous agents.

What You'll Do

• Design, build, and optimize distributed infrastructure for training, deploying, and scaling AI agents across high-performance compute environments.
• Evaluate and improve system performance across compute, networking, storage, and inference layers, identifying and resolving bottlenecks.
• Implement monitoring, observability, and fault-tolerance mechanisms for long-running agent processes and distributed workflows.
• Develop core backend systems including services, APIs, and orchestration layers that support agent lifecycles and multi-agent coordination.
• Collaborate closely with research and applied AI teams to integrate model-serving pipelines and agent reasoning loops into production systems.

Requirements

• A strong foundation in Computer Science, Software Engineering, or Systems Design with experience building large-scale distributed systems.
• Proficiency in backend or systems programming languages such as Go, Rust, Python, C++, Java, Scala, C#, Kotlin, or TypeScript.
• Experience with cloud infrastructure such as AWS, GCP, or Azure.
• Strong experience designing production-grade backend services and distributed systems.
• Excellent collaboration and communication skills.

Nice to Have

• Familiarity with LLM inference pipelines or reinforcement learning environments.
• Knowledge of networking, data streaming, caching, and performance optimization in distributed systems.
• Ability to operate effectively in fast-moving, technically demanding environments.

What We Offer

• Flexible scheduling with an expected commitment of 30–40 hours per week.
• Hourly compensation of $100–$160, with weekly payments via Stripe or Wise.
• Fully remote work environment, allowing you to collaborate with leading systems engineers and AI researchers.
• Opportunity to contribute to cutting-edge AI projects that have real-world impact.
• Immediate start date available.