Remote AI/ML Full-Stack Engineer — Flight Systems

GE Aerospace; Trevose (PA); Hybrid; USD 95,000 - 140,000; Full time

Benefits offered by this job

Healthcare benefits

Health Coach access

401k retirement plan

Tuition assistance

Paid parental leave

Disability insurance

Paid time off

Job summary

GE Aerospace seeks a versatile AI/ML engineer blending data science and software development. You’ll develop and deploy AI-driven systems across front-end to back-end, collaborating with engineers to deliver robust, scalable solutions for flight technology.

The role requires full lifecycle AI development, strong Python and cloud experience, and a focus on production-grade systems. Expect a hybrid work setup with opportunities to research AI enhancements and improve product capabilities.

Qualifications

• Bachelor’s Degree in Computer Science or STEM Majors.
• Minimum of 3 years in AI/ML engineering experience.
• GE Aerospace will not sponsor individuals for employment visas, now or in the future, for this job 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 gather requirements and deliver AI‑driven solutions.
• Implement orchestration logic for multi‑agent systems and task automation.
• Write clean, scalable, and maintainable 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 Engineering

Python

LLMs & prompts

Cloud platforms

Orchestration frameworks

Education

Bachelor's Degree in Computer Science or STEM Majors

Tools

AWS

Docker

Kubernetes

JupyterHub

GitHub

Visual Studio

Job description

GE Aerospace seeks a versatile AI/ML engineer blending data science and software development. You’ll develop and deploy AI-driven systems across front-end to back-end, collaborating with engineers to deliver robust, scalable solutions for flight technology.

The role requires full lifecycle AI development, strong Python and cloud experience, and a focus on production-grade systems. Expect a hybrid work setup with opportunities to research AI enhancements and improve product capabilities.