About this role

Develop End-to-End AI Solutions: Design, build, and monitor production-ready Machine Learning models and automated agents.
Optimize Operational Workflows: Collaborate with Finance, Facilities, and Information Technology teams to build robust ETL pipelines.
Govern AI Safety and Compliance: Ensure the responsible deployment of all systems by performing rigorous model validation.

5+ years of applied experience in Artificial Intelligence/Machine Learning engineering or advanced analytics.
Advanced technical expertise in Python and SQL.
Proven experience scaling "agentic" workflows and Retrieval-Augmented Generation (RAG) solutions using platforms like LangChain or n8n.
Proven ability in strategic problem-solving and rapid prototyping.
A Bachelor’s degree in a quantitative field such as Computer Science, Data Science, Engineering, or Mathematics.
United States Citizenship is required.

Competitive compensation and benefits aligned with your experience level.
Flexible work options to support a healthy work–life balance.
Comprehensive health, wellness, and retirement plans to support your long-term well-being.
Opportunities for continuous learning and professional growth in a cutting-edge technical environment.

AI Engineer – Global Operations

Key skills