AI/ML Systems Engineer — Remote, Full-Stack AI

GE Aerospace; Atlanta (GA); Hybrid; USD 95,000 - 140,000; Full time

Benefits offered by this job

Healthcare benefits (medical, dental,

401(k) retirement plan with company-m

Tuition assistance

Job summary

GE Aerospace is seeking an AI/ML engineer with full-stack capabilities to design, build, and deploy AI-enabled software across the stack. You will work across front-end interfaces and back-end services, applying AI-driven solutions to improve flight-related products in an agile team.

The role requires 3+ years in AI/ML, proficiency in Python and related tools, and experience with cloud and containerization. This is a hybrid position with eligibility for bonus based on performance.

Qualifications

• Bachelor's Degree in Computer Science or STEM majors.
• Minimum of 3 years in AI/ML engineering experience.
• GE Aerospace will not sponsor employment visas for this opening.

Responsibilities

• Design, build, and maintain agentic workflows and autonomous systems.
• Develop and integrate AI models into production-grade applications.
• Collaborate with cross-functional teams to deliver AI-driven solutions.
• Implement orchestration logic for multi-agent systems and task automation.
• Write clean, scalable code in support of AI initiatives.
• Monitor and optimize the performance of AI systems in production.
• Stay current with advancements in AI, LLMs, and agentic architectures.

Skills

AI/ML engineering

Full stack with AI/ML

Python

Education

Bachelor's in CS or STEM

Tools

JupyterHub

GitHub

Visual Studio

Docker

Kubernetes

LangChain

Job description

GE Aerospace is seeking an AI/ML engineer with full-stack capabilities to design, build, and deploy AI-enabled software across the stack. You will work across front-end interfaces and back-end services, applying AI-driven solutions to improve flight-related products in an agile team.

The role requires 3+ years in AI/ML, proficiency in Python and related tools, and experience with cloud and containerization. This is a hybrid position with eligibility for bonus based on performance.