Remote AI/ML Engineer: Production-Grade Models & LLM Apps

GE Aerospace; Hooksett (NH); Remote; USD 112,000 - 150,000; Full time

Benefits offered by this job

Health benefits

401(k) plan with company match

Career development programs

Job summary

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

The role covers end-to-end ML lifecycle, from requirements through deployment and monitoring, with emphasis on real-time decision support and responsible AI practices.

Qualifications

• This role requires a Bachelor's degree in CS/DS/Engineering or related field.
• Minimum 3 years of hands-on AI/ML engineering experience building production models.
• Experience delivering AI-powered applications and LLM-enabled tools.

Responsibilities

• Design, build, and maintain AI/ML products including LLM-powered apps and forecasting models.
• Develop scalable data pipelines and APIs for real-time decision support.
• Collaborate with BI teams and executives to translate requirements into AI solutions.

Skills

Python

LLM applications

REST APIs

AWS

Prompt engineering

Education

Bachelor's degree in CS/DS/Engineering

Tools

MLflow

Weights & Biases

Databricks

Job description

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

The role covers end-to-end ML lifecycle, from requirements through deployment and monitoring, with emphasis on real-time decision support and responsible AI practices.