Senior AI-Driven Full-Stack Engineer

GE Aerospace

Huntsville (AL)

On-site

USD 152,000 - 202,000

Full time

7 days ago
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Benefits offered by this job

Health benefits
401(k) with match
Paid time off
Employee wellness programs

Job summary

GE Aerospace in Huntsville, AL seeks a Principal Software Engineer to design and build full-stack AI-enabled applications for supply chain and operations. You will lead development, mentor engineers, and shape the application roadmap, delivering production-grade features with robust testing and security.

You'll partner with BI, data and AI/ML teams to embed models, manage MCP interfaces, and ensure scalable cloud deployment. In-person start required.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field from an accredited university or college.
  • Minimum of 8 years of hands-on experience building and shipping full-stack applications to production.

Responsibilities

  • Design, build, and maintain full-stack applications and services across the full software lifecycle: requirements, implementation, testing, documentation, and production support.
  • Build responsive front ends and back-end services deployed to the cloud.
  • Embed AI into applications with natural-language queries, predictive insights, recommendations, and conversational interfaces.
  • Ground AI features in knowledge graphs and ontologies that model the domain and enable semantic search and reasoning over operational data.
  • Build and expose reusable AI capabilities via MCP servers that applications and agents can call.

Skills

Full-Stack Development
AI Integration
MCP & Tool Interfaces
Knowledge Graphs & Ontologies
Cloud & Data Platforms
Engineering Fundamentals

Education

Bachelor's degree in Computer Science or related field
Master's degree preferred

Tools

Git
CI/CD

Job description

GE Aerospace in Huntsville, AL seeks a Principal Software Engineer to design and build full-stack AI-enabled applications for supply chain and operations. You will lead development, mentor engineers, and shape the application roadmap, delivering production-grade features with robust testing and security.

You'll partner with BI, data and AI/ML teams to embed models, manage MCP interfaces, and ensure scalable cloud deployment. In-person start required.

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