Applied AI Platform Engineer – Build Scalable AI Tools

Trend Micro

Austin (TX)

Hybrid

USD 140,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability
Maternity Leave
Parental Leave
Mental Health
Adoption Assistance
Wellness Incentive
Pet Insurance
401(k) Match
Paid Time Off
Holidays
Tuition Assistance
Employee Resource Groups

Job summary

TrendAI in Austin is seeking Applied AI Engineers to shape how teams build with AI across our organization. You’ll design tools, workflows, and standards to help developers create, test, and scale AI-powered applications.

You’ll join a lean, high-impact team working with engineering, infrastructure, and security to ensure scalable, secure solutions. This hybrid role emphasizes end-to-end lifecycle, guardrails, and reusable components, while mentoring others and driving product-like improvements

Qualifications

  • 5+ years of software development experience.
  • Strong programming fundamentals and modern delivery practices.
  • Experience with CI/CD and cloud environments.
  • Ability to collaborate across teams and mentor others.
  • Interest in AI/ML systems is a bonus.

Responsibilities

  • Define the AI development lifecycle and standards for responsible AI adoption.
  • Drive cross-functional adoption to scale AI capabilities and improve developer experience.
  • Build self-service tooling, templates, and patterns for AI-powered apps.
  • Raise engineering standards and mentor engineers and stakeholders.
  • Treat internal platforms as products and iterate from feedback.
  • Enable AI at scale with reusable components and integration patterns.

Skills

Software development
Programming
CI/CD
Cloud environments
Problem solving
Cross-team collaboration
Curiosity

Tools

Temporal.io
Go
Python

Job description

TrendAI in Austin is seeking Applied AI Engineers to shape how teams build with AI across our organization. You’ll design tools, workflows, and standards to help developers create, test, and scale AI-powered applications.

You’ll join a lean, high-impact team working with engineering, infrastructure, and security to ensure scalable, secure solutions. This hybrid role emphasizes end-to-end lifecycle, guardrails, and reusable components, while mentoring others and driving product-like improvements

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