Principal Software Engineer - AI-Driven Analytics (Remote)

GE Aerospace

Little Rock (AR)

Remote

USD 152,000 - 202,000

Full time

9 days ago
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Benefits offered by this job

Healthcare benefits
401(k) with match
Tuition assistance
Paid time-off

Job summary

GE Aerospace is seeking a Principal Software Engineer to design and build full-stack AI-powered analytics applications for supply chain and operations. This senior individual-contributor role shapes application strategy, builds front-end and back-end services, and embeds AI features into production products.

You will mentor junior engineers, partner with BI developers and a platform architect, and lead projects of moderate to high complexity toward reliable, scalable solutions.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or related technical field.
  • Minimum of 8 years hands-on experience building and shipping full-stack applications to production.
  • Master's degree is preferred but not required.

Responsibilities

  • Design, build, and maintain full-stack applications across the full software lifecycle.
  • Build responsive front ends and back-end services deployed to the cloud.
  • Embed AI features and integrate ML models into production applications.
  • Mentor junior engineers and collaborate with BI developers and platform architects.

Skills

Full-stack development
AI integration
Knowledge graphs
Cloud platforms
CI/CD
Code review

Education

Bachelor's degree in CS/Software Eng
Master's degree (preferred)

Tools

Databricks
AWS
Snowflake
Git
CI/CD tooling

Job description

GE Aerospace is seeking a Principal Software Engineer to design and build full-stack AI-powered analytics applications for supply chain and operations. This senior individual-contributor role shapes application strategy, builds front-end and back-end services, and embeds AI features into production products.

You will mentor junior engineers, partner with BI developers and a platform architect, and lead projects of moderate to high complexity toward reliable, scalable solutions.

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