Senior AI-Driven Test Engineer

100 Everfox Holdings, LLC

Salt Lake City (UT)

Hybrid

USD 143,000 - 197,000

Full time

10 days ago

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Benefits offered by this job

Flexible PTO
401k match
Healthcare coverage

Job summary

Everfox seeks an experienced test engineer to provide technical leadership for the UAM product suite. You will design, test, and deliver sophisticated software with Generative AI, automation, and AI-assisted debugging.

Candidates should have strong Python, Linux, and scripting skills and enjoy integrating AI into CI/CD workflows. The role is hybrid, onsite in Salt Lake City, UT, with 2–3 days on-site and travel within reasonable distance.

Qualifications

  • Minimum 7 years software engineering experience, with test automation emphasis.
  • BS Computer Science, Computer Engineer, Information Security or equivalent.
  • Experience developing test automation tools with generative AI accelerators.
  • Proficiency in Python, Linux Shell, and PowerShell scripting.
  • Experience integrating AI into CI/CD and test orchestration.

Responsibilities

  • Gather and document integration requirements using generative AI to accelerate synthesis.
  • Identify resources for setup and testing using AI planning and environment modeling.
  • Define and author test cases and scripts for automation, using AI to improve coverage.
  • Execute tests, report defects, and use AI-assisted log analysis and anomaly detection.
  • Collaborate to maintain regression tests and AI-augmented test suites.

Skills

Generative AI
Test automation
Python
Linux Shell
PowerShell
CI/CD
Kubernetes
RedHat Linux
Troubleshooting

Education

BS Computer Science

Tools

AI SDKs
Embeddings
Model inference APIs
Automation pipelines

Job description

Everfox seeks an experienced test engineer to provide technical leadership for the UAM product suite. You will design, test, and deliver sophisticated software with Generative AI, automation, and AI-assisted debugging.

Candidates should have strong Python, Linux, and scripting skills and enjoy integrating AI into CI/CD workflows. The role is hybrid, onsite in Salt Lake City, UT, with 2–3 days on-site and travel within reasonable distance.

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