AI/ML Engineer for Production Models & LLM Apps

GE Aerospace; Bellevue (WA); On-site; USD 112,000 - 150,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Tuition assistance

Paid time off

Job summary

GE Aerospace is seeking an AI Engineer to transform operational data into production-grade ML pipelines, models, and LLM-powered apps. You’ll train models, develop applications, and create APIs while partnering with analytics teams to embed AI in existing tools.

The role covers full lifecycle: requirements through deployment, with emphasis on AI strategy, governance, and measurable business impact. You’ll influence executive stakeholders and drive real-time decision support.

Qualifications

• Hands-on AI/ML development and production deployment.
• Experience building AI/ML products for production environments.
• Ability to lead technical initiatives and collaborate with stakeholders.

Responsibilities

• Design, build, and maintain AI/ML products including LLM-powered applications.
• Own end-to-end AI/ML lifecycle: requirements, design, training, evaluation, API deployment, ops.
• Collaborate with BI to embed AI features in dashboards and workflows.

Skills

Python

Machine Learning

Data Pipelines

API Development

AWS

Prompt Engineering

Leadership

Education

Bachelor's in CS/DS/Engineering

Tools

MLflow

Weights & Biases

Databricks

REST APIs

Job description

GE Aerospace is seeking an AI Engineer to transform operational data into production-grade ML pipelines, models, and LLM-powered apps. You’ll train models, develop applications, and create APIs while partnering with analytics teams to embed AI in existing tools.

The role covers full lifecycle: requirements through deployment, with emphasis on AI strategy, governance, and measurable business impact. You’ll influence executive stakeholders and drive real-time decision support.