Senior AI Infrastructure Engineer

Job Summary

As a full-time remote Senior or Staff AI Infrastructure Engineer, the successful candidate will build and scale the technical infrastructure for AI/ML systems, focusing on CI/CD workflows, automation of model processes, and the development of a modular AI infrastructure stack.

Key responsibilities

• Build reusable CI/CD workflows for model training, evaluation, and deployment
• Automate model versioning, approval workflows, and compliance checks across environments
• Partner with engineering and data science teams to embed AI models into real-time applications and workflows

Required qualifications

• Strong background in scalable infrastructure, including containerization and orchestration (e.g., Docker, Kubernetes)
• Experience with infrastructure-as-code and deployment tools (e.g., Terraform, CI/CD pipelines)
• Knowledge of ML Ops best practices, including model versioning and automated evaluation
• Proficiency in deploying and maintaining LLM and agentic workflows in production
• Ability to write high-quality, maintainable software primarily in Python