Principal AI-Driven Full-Stack Engineer (Remote)

GE Aerospace; San Francisco (CA); Remote; USD 152,000 - 202,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) with company match

Tuition assistance

Paid time off

Job summary

GE Aerospace is seeking a Principal Software Engineer to design and build full‑stack applications that turn operational data into AI‑driven decision tools. You will develop front‑end and back‑end services, embed AI features, and shape the AI application strategy, collaborating with BI developers and platform architects.

This senior contributor role includes mentoring junior engineers, leading mid‑to‑high complexity projects, and driving engineering best practices across the team.

Qualifications

• Bachelor's degree in CS/SE or related field and 8+ years hands-on full-stack experience.
• Experience shipping production AI features and applications.
• Strong cloud and data platform familiarity (Databricks/AWS/Snowflake).

Responsibilities

• Design, build, and maintain full-stack applications across the full software lifecycle.
• Develop responsive front ends and cloud-based back-end services.
• Embed ML models and LLM APIs into production applications.
• Lead and mentor junior engineers and BI developers.
• Define and enforce CI/CD, testing, and security practices.

Skills

Full-stack development

AI integration

Cloud & data platforms

CI/CD & automation

Mentoring & leadership

Problem solving

Education

Bachelor's degree in Computer Science / Software Engineering

Master's degree (preferred)

Tools

Git

CI/CD tooling

Databricks

AWS

Snowflake

LLM APIs

Job description

GE Aerospace is seeking a Principal Software Engineer to design and build full‑stack applications that turn operational data into AI‑driven decision tools. You will develop front‑end and back‑end services, embed AI features, and shape the AI application strategy, collaborating with BI developers and platform architects.

This senior contributor role includes mentoring junior engineers, leading mid‑to‑high complexity projects, and driving engineering best practices across the team.