Remote AI/ML Full-Stack Engineer for Autonomous Systems

General Electric; Asheville (NC); Remote; USD 95,000 - 140,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) with company matching

Tuition assistance

Paid time off

Job summary

GE Aerospace is seeking an AI/ML engineer with full-stack capabilities to design and implement AI-driven solutions across the product lifecycle. You will develop both front-end interfaces and back-end services, integrating AI models into production-grade applications and collaborating with cross-functional teams.

You will work with AWS tools, LangChain, and other orchestration frameworks to build robust, scalable AI systems, ensuring performance, reliability, and responsible AI practices in a

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.

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 with AI/ML

Python

LLMs

Prompt engineering

AWS

LangChain

AutoGen

CrewAI

Education

Bachelor's degree in Computer Science or STEM majors

Tools

JupyterHub

GitHub

Visual Studio

Docker

Kubernetes

Job description

GE Aerospace is seeking an AI/ML engineer with full-stack capabilities to design and implement AI-driven solutions across the product lifecycle. You will develop both front-end interfaces and back-end services, integrating AI models into production-grade applications and collaborating with cross-functional teams.

You will work with AWS tools, LangChain, and other orchestration frameworks to build robust, scalable AI systems, ensuring performance, reliability, and responsible AI practices in a