AI Systems & DataOps Engineer

Surge AI; United States; Remote; USD 110,000 - 180,000; Full time

Job summary

Surge AI is seeking an AI Operations Engineer to design and build scalable data processing pipelines and internal tooling. You will own end-to-end data collection and quality frameworks for frontier AI projects, collaborating with engineering to deliver high-impact solutions at scale.

The role suits someone early in their career or transitioning from a technical background, with hands-on Python coding and a passion for building robust systems and datasets used to evaluate cutting-edge models.

Qualifications

• Background in CS, engineering, or another quantitative field.
• Hands-on coding with Python and building tools from scratch.
• Ability to navigate ambiguity and manage cross-functional projects.
• Interest in AI systems; ML experience valued but not required.

Responsibilities

• Design scalable data processing pipelines and AI-based quality tools.
• Build automation workflows with engineering collaboration.
• Expand processes for customer support and value delivery.
• Lead multiple cross-functional projects with timelines and deadlines.

Skills

Python

Cross-functional teamwork

Ambiguity handling

Interpersonal skills

System design

Education

CS/Engineering background

Job description

Surge AI is seeking an AI Operations Engineer to design and build scalable data processing pipelines and internal tooling. You will own end-to-end data collection and quality frameworks for frontier AI projects, collaborating with engineering to deliver high-impact solutions at scale.

The role suits someone early in their career or transitioning from a technical background, with hands-on Python coding and a passion for building robust systems and datasets used to evaluate cutting-edge models.