Senior Agent Infrastructure Engineer

AgentField.ai

United States

On-site

USD 84,000 - 126,000

Full time

4 days ago
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Job summary

AgentField is a Toronto-based startup building Dev-first infrastructure for AI agent systems. We design the execution fabric, scheduling, and deployment paths powering large-scale agent runs across on-prem and air-gapped environments.

As a Software Engineer, you will build the framework, benchmark models, and develop agentic applications that scale to 100k+ agents per run, collaborating with enterprise users to ensure robust, secure deployments.

Qualifications

  • 5+ years building production backend and distributed systems.
  • Experience in startup, product-focused environments.
  • 3+ years contributing to enterprise open-source infrastructure.
  • Experience with large-scale distributed compute, schedulers, and deployment workflows.

Responsibilities

  • Design and build execution and scheduling for long-running agent workloads across heterogeneous compute.
  • Scale systems from million-agent scale to enterprise deployments.
  • Maintain deployment paths including on-prem and air-gapped installs.
  • Benchmark models and develop agentic applications atop AgentField.
  • Improve runtime performance through profiling and load testing.
  • Contribute to open-source RFCs, design docs, code reviews, and issue tracker.
  • Collaborate with cross-functional teams and enterprise users deploying agents in production.

Skills

Backend development
Distributed systems
Open-source contributions
System design
Analytical thinking

Education

Bachelor's degree in CS/CE or related field

Tools

Terraform
Docker
Kubernetes

Job description

AgentField is a Toronto-based startup building Dev-first infrastructure for AI agent systems. We design the execution fabric, scheduling, and deployment paths powering large-scale agent runs across on-prem and air-gapped environments.

As a Software Engineer, you will build the framework, benchmark models, and develop agentic applications that scale to 100k+ agents per run, collaborating with enterprise users to ensure robust, secure deployments.

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