Senior Gen AI Engineer - Remote MVP & Tooling Lead

GE Aerospace

Trenton (NJ)

Remote

USD 95,000 - 127,000

Full time

2 days ago
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Benefits offered by this job

Remote position
Competitive compensation
Health benefits

Job summary

GE Aerospace is seeking an IT engineer to deliver scalable, compliant enterprise software using Claude Code and agentic workflows. You will architect, build, and integrate net-new applications while evaluating legacy systems for modern replacements, with a focus on security and high performance.

You will collaborate with cross-functional teams to translate needs into actionable designs, develop robust APIs, and ensure code quality through automated validation and deployment pipelines in a

Qualifications

  • US work authorization required; no visa sponsorship.
  • Bachelor’s degree with 2+ years of professional experience or 5+ years with an associate degree.
  • Experience with agentic AI tooling and cloud-native development preferred.

Responsibilities

  • Architect and design solutions using Claude Code and agentic workflows.
  • Evaluate legacy systems to determine capabilities for high-performance replacements.
  • Code complex modular applications and mentor team members on agentic workflows.
  • Support, maintain, and improve AI-generated codebases and deployment pipelines.
  • Triage performance, data handling, and security issues in AI-generated code.

Skills

Agentic tooling
Software architecture
CI/CD pipelines
Cloud deployments
Security guardrails

Education

Bachelor’s degree + 2+ years experience
Associates + 5+ years experience

Tools

Claude Code
Git
CI/CD tooling

Job description

GE Aerospace is seeking an IT engineer to deliver scalable, compliant enterprise software using Claude Code and agentic workflows. You will architect, build, and integrate net-new applications while evaluating legacy systems for modern replacements, with a focus on security and high performance.

You will collaborate with cross-functional teams to translate needs into actionable designs, develop robust APIs, and ensure code quality through automated validation and deployment pipelines in a

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