AI Infrastructure Engineer (Remote - US)

We are looking for an AI Infrastructure Engineer to design and scale the infrastructure that powers advanced machine learning initiatives. You will collaborate closely with cross-functional teams to build reliable, high-performance systems that support large-scale AI training and deployment.

Requirements

• 3+ years of experience in software engineering or ML infrastructure roles, focusing on distributed systems or MLOps.
• Proficiency in Python (or similar), Docker, Kubernetes, and CI/CD pipelines.
• Strong experience with major cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform, CloudFormation).
• Familiarity with ML frameworks such as TensorFlow, PyTorch, and orchestration tools like Kubeflow, Airflow, or MLflow.
• Deep understanding of model deployment, real-time inference, and scalable data pipelines.
• Strong collaboration and communication skills across technical and non-technical teams.

Benefits

• Competitive compensation package ($140,000–$200,000 base salary + bonus + equity).
• 100% remote and asynchronous work culture promoting flexibility and autonomy.
• Opportunity to shape cutting-edge AI infrastructure in a fast-evolving domain.
• Dynamic, mission-driven team that values innovation, creativity, and impact.
• Inclusive work environment that celebrates diversity and equal opportunity.
• The chance to contribute to technology that enhances accessibility and learning for millions.