Remote AI Infrastructure & Platform Engineer

10a Labs; United States; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Fully remote, U.S.-based

Performance-based annual bonus

Professional development support (con-

Leadership training

Job summary

10a Labs is seeking a Software Engineer, Infrastructure & Platform, to craft the sandboxed environments and backend systems powering advanced AI evaluations. You will enable tools interaction, secure code execution, and multi-step workflows across distributed services.

The role emphasizes building scalable, observable, and secure infrastructure for autonomous model behavior, agentic workflows, and risk evaluation, with a focus on security and reliability in a remote US-based setting.

Qualifications

• 3–5+ years of professional software engineering experience in backend/infrastructure
• Strong Python production-grade software development skills
• Experience designing and operating backend services or distributed systems
• Hands-on experience with Docker, Kubernetes, VMs or similar container/orchestration tech
• Experience with cloud platforms such as GCP or AWS and Linux networking/security
• Familiarity with infrastructure-as-code/automation tools like Terraform
• Ability to build reproducible, observable, scalable, and secure systems
• Interest in AI safety, agentic workflows, or model evaluations is a plus

Responsibilities

• Design and build sandboxed evaluation environments for safe code execution and tool-use
• Develop backend services and infrastructure for large-scale AI evaluations
• Create agent scaffolding and evaluation harnesses with robust context management and retries
• Provision and orchestrate isolated environments using Docker, Kubernetes, VMs and cloud infra
• Implement secure networking, secrets management and resource isolation
• Build APIs and automation to enable efficient evaluations by analysts and engineers
• Increase reliability through logging, observability, snapshotting and automated tests
• Support thousands of evaluation tasks with scalable, reproducible workflows
• Collaborate with analysts and domain experts to translate evaluation ideas into systems
• Investigate failures across the stack to distinguish model vs infra issues

Skills

Python

Backend systems

Distributed systems

Docker

Kubernetes

Cloud infrastructure

Security

Observability

Linux

Tools

Docker

Kubernetes

Terraform

GCP

AWS

Job description

10a Labs is seeking a Software Engineer, Infrastructure & Platform, to craft the sandboxed environments and backend systems powering advanced AI evaluations. You will enable tools interaction, secure code execution, and multi-step workflows across distributed services.

The role emphasizes building scalable, observable, and secure infrastructure for autonomous model behavior, agentic workflows, and risk evaluation, with a focus on security and reliability in a remote US-based setting.