Remote Principal AI-Driven Full-Stack Engineer

GE Aerospace

Santa Fe (NM)

Remote

USD 152,000 - 202,000

Full time

12 days ago
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Benefits offered by this job

Health benefits
Retirement plan with company match
Paid time off

Job summary

GE Aerospace is seeking a Principal Software Engineer to design and build full-stack applications turning operational data into AI-driven decision tools. This hands-on role involves front-end and back-end development, AI feature embedding, and leading junior engineers to deliver production-quality solutions.

You will collaborate with BI developers and platform architects to shape the AI application strategy and deliver impactful analytics across supply chain and operations.

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.
  • Embed AI into applications with ML models, LLMs, and agentic workflows.
  • Lead code reviews, CI/CD, automated testing, and secure-by-default practices.
  • Mentoring junior engineers and BI developers; translate business problems into project plans.
  • Partner with BI leadership on roadmaps and stakeholder requirements.

Skills

Full-Stack development
AI integration
MCP interfaces
Knowledge graphs
Cloud platforms
CI/CD practices
Code review

Education

Bachelor's in CS/SE
Master's (desired)

Tools

Databricks
AWS
Snowflake
Git

Job description

GE Aerospace is seeking a Principal Software Engineer to design and build full-stack applications turning operational data into AI-driven decision tools. This hands-on role involves front-end and back-end development, AI feature embedding, and leading junior engineers to deliver production-quality solutions.

You will collaborate with BI developers and platform architects to shape the AI application strategy and deliver impactful analytics across supply chain and operations.

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