AI/ML Software Engineer

GE Aerospace

Remote

Quick summary

Work type: Remote
Location: Evendale
Salary: $95,000–$140,000 / yr
Posted: 6 days ago
Nearby: 69 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $194k

This role $118k

$78k most similar roles pay here $252k

This role pays less than 97% of similar roles. Most pay $161,150–$226,600 — the shaded band above. At the midpoint, this role pays about $118k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About GE Aerospace

GE Aerospace (General Electric Aerospace) designs and produces commercial and military jet engines, components, and integrated systems for aircraft manufacturers and airlines worldwide. Industry: Aerospace & Aviation Engines

GE Aerospace currently has 43 open roles on FindRole.

Listed pay typically runs $130,000–$174,000 across 25 roles with salary data.

Most-posted roles

View all roles at GE Aerospace

At a glance

TL;DR · AI/ML Software Engineer

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As a mid-level AI engineer in an agile development team, you will design and develop autonomous systems and agentic workflows, integrating advanced AI models into production applications. Your day-to-day involves collaborating with cross-functional teams to gather requirements and implement robust back-end services alongside intuitive front-end interfaces. You will also write clean, scalable code, monitor system performance, and optimize AI-driven solutions for enhanced user experience in the flight industry. Essential skills include proficiency in Python, JupyterHub, GitHub, Visual Studio, and familiarity with AWS tools, orchestration frameworks like LangChain, and cloud platforms such as Docker and Kubernetes. This role demands a solid understanding of AI/ML concepts, including large language models (LLMs) and prompt engineering, along with the ability to navigate complex challenges and apply AI techniques to real-world problems.

Skills

AWS Python Docker Kubernetes GitHub JupyterHub LangChain LLMs Prompt Engineering CI/CD Terraform PostgreSQL Visual Studio Code

What you'll do

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

What we're looking for

At least 3 years of AI/ML engineering experience
Bachelor's Degree in Computer Science or related STEM field
Proficiency in Python and other software development tools
Experience with AWS for designing and building AI-driven systems
Strong understanding of AI/ML concepts, including LLMs and prompt engineering
Ability to build prototype-level data pipelines for model training and evaluation
Familiarity with orchestration frameworks like LangChain and AutoGen