Early Careers: AI Automation Engineer

What you'll do

• Own services end to end, including deployment, monitoring, troubleshooting, and runbooks; build and harden ingestion pipelines.
• Design and evaluate LLM prompts and workflows, measure quality against human-graded samples, and use human review for high-stakes or low-confidence decisions.
• Automate operational workflows and maintain data quality, security, documentation, and observability.

What they ask for

• Must be authorized to work in the U.S. without sponsorship.
• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, graduating by the start date (or equivalent practical experience).
• Strong Python; experience building or consuming HTTP APIs, including LLM/AI APIs; and demonstrated experience designing and evaluating prompts or LLM-based pipelines.
• Comfort with Git and a hosted platform (GitHub or GitLab), basic databases and SQL, and testing and debugging.

Nice to have

• Experience with FastAPI, Docker, or Linux service operations.
• Experience with data pipelines, ETL, log/telemetry processing, or observability.

Pay

$110,000 - $170,000 USD base salary

Tools

Python, JavaScript/TypeScript, HTTP APIs, OpenAI, Anthropic, Git, GitHub, GitLab

AI focus

Design prompts and pipelines for summarization, classification, retrieval, and scoring; evaluate accuracy, consistency, and bias against human-graded samples and use human review where appropriate.