AI Systems Engineer

Location: Remote – United States • Full Time • $105,000–$115,000 per year

About the role

The AI Systems Engineer will support development and operation of AI or machine-learning systems through data preparation, model evaluation, integration, testing, monitoring, and technical documentation.

Responsibilities

• Develop or support AI and machine-learning workflows using appropriate code, data, and model interfaces.
• Prepare and validate datasets used for experimentation, evaluation, or production workflows.
• Evaluate model and system outputs for accuracy, reliability, performance, and known failure modes.
• Support integration of models or AI services into repeatable application and data workflows.
• Monitor production behavior and investigate material changes, errors, or degraded performance.
• Document experiments, assumptions, evaluation results, deployment changes, and operational procedures.

Qualifications

• Working knowledge of Python, Machine Learning, and Model Evaluation.
• Ability to apply AI Systems and Data Pipelines accurately in assigned work.
• Strong written communication, documentation, and attention to detail.
• Ability to organize priorities, follow defined procedures, and raise questions when source information is unclear.
• Comfort working independently and collaborating through shared digital tools in a remote environment.

Pay

$105,000–$115,000 per year

Schedule

Full Time