Senior AI Software Engineer — Remote Impact & Innovation

Boeing Employees Credit Union

Washington (Washington County)

On-site

USD 141,800 - 173,300

Full time

14 days+

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Benefits offered by this job

401(k) Company Match (up to 3%)
4% annual 401(k) contribution by BECU
Medical, Dental and Vision
PTO + Exchange Program
Tuition Reimbursement Program
BECU Cares volunteer time off + match

Job summary

Boeing Employees Credit Union is hiring a Sr. AI Software Engineer to bring advanced AI capabilities into enterprise applications. You will design, implement, and optimize AI-enabled features, ensuring secure, scalable, and maintainable solutions in a team environment.

Responsibilities include integrating AI/ML services, guiding architecture decisions, and mentoring junior staff while aligning with enterprise standards and roadmaps.

Qualifications

  • Bachelor's degree in computer science or equivalent experience.
  • Minimum 5 years of software design and production code experience.
  • Proficiency with Node.js, TS/React, Python and AI/ML service integration.
  • Experience with SQL and cloud platforms (Azure/AWS/GCP) for AI solutions.
  • Strong communication skills and mentoring ability.

Responsibilities

  • Build AI-powered features and services with AI/ML models or APIs.
  • Design scalable, secure, and maintainable architectures aligned with enterprise standards.
  • Write high-quality, well-tested code and promote engineering best practices.
  • Troubleshoot AI performance, bottlenecks, and data pipeline issues.
  • Lead and mentor junior engineers in AI technologies and coding practices.
  • Collaborate with cross-functional teams to evaluate new AI capabilities and roadmaps.
  • Document AI integration patterns and support continuous learning.

Skills

Node.js
TypeScript/React
Python
SQL

Education

Bachelor's degree in Computer Science

Tools

Kubernetes
Azure DevOps
GitHub Actions
Jenkins
TeamCity

Job description

Boeing Employees Credit Union is hiring a Sr. AI Software Engineer to bring advanced AI capabilities into enterprise applications. You will design, implement, and optimize AI-enabled features, ensuring secure, scalable, and maintainable solutions in a team environment.

Responsibilities include integrating AI/ML services, guiding architecture decisions, and mentoring junior staff while aligning with enterprise standards and roadmaps.

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