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Overview

Company
N-iX
Location
all cities, OH 36
Employment type
On-site
  • Group Vice President East Region (36)
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  • Sr Manager, Financial Planning (remote) (1)
  • Remote Mechanical Engineer (MEP) (4)
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  • Business Development Director - Institutions (US Northeast Remote) (20)
Back to Jobs
N
N-iXVerified Employer

Business Services & Consulting • all cities, OH 36

Senior AQA Engineer (with AI experience) (36)

all cities, OH 36On-sitePosted 1 day ago
Business Services & Consulting

About the Role

Senior QA Automation Engineer

N-iX is looking for a Senior QA Automation Engineer to lead the validation and verification strategies for EDGE Group's AI transformation. You will be responsible for defining "what good looks like" for non-deterministic AI systems, ensuring that Large Language Models (LLMs) and predictive engines meet the strict reliability standards of the defense sector.

Qualifications
  • 5+ years in QA Automation
  • Experience testing data-driven systems, AI, or ML models
  • Strong analytical skills for defining test criteria in non-deterministic systems
  • Ability to collaborate with engineers, data scientists, and product teams
  • Experience in regulated industries (defense, aerospace) will be a plus
  • English level - at least Upper-Intermediate
Technical Requirements
  • Strong experience in Python and test automation frameworks (Pytest, Selenium/Playwright, API testing)
  • Experience with performance testing tools (JMeter, Locust, K6)
  • Familiarity with LLM evaluation tools (e.g., DeepEval, TruLens)
  • Knowledge of SQL and data validation tools
  • Experience with CI/CD pipelines (GitLab) and version control (Git)
  • Exposure to test reporting tools (Allure, TestRail)
Key Responsibilities
1. AI & LLM Testing
  • Build automated tests to evaluate AI outputs for accuracy, consistency, and reliability
  • Validate Retrieval-Augmented Generation (RAG) systems using metrics like relevance and correctness
  • Create regression tests to detect changes in AI behavior (prompt drift)
2. System & Integration Testing
  • Test integrations between AI systems and enterprise platforms (e.g., SAP)
  • Perform API testing, including security and access control validation
  • Design performance tests for latency, scalability, and system throughput
3. Quality & Governance
  • Align test cases with system requirements and user needs
  • Support release readiness through structured testing reviews
  • Track and manage defects, ensuring traceability to data, models, or requirements

We offer*:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

*not applicable for freelancers

Senior QA Automation Engineer

N-iX is looking for a Senior QA Automation Engineer to lead the validation and verification strategies for EDGE Group's AI transformation. You will be responsible for defining "what good looks like" for non-deterministic AI systems, ensuring that Large Language Models (LLMs) and predictive engines meet the strict reliability standards of the defense sector.

Qualifications
  • 5+ years in QA Automation
  • Experience testing data-driven systems, AI, or ML models
  • Strong analytical skills for defining test criteria in non-deterministic systems
  • Ability to collaborate with engineers, data scientists, and product teams
  • Experience in regulated industries (defense, aerospace) will be a plus
  • English level - at least Upper-Intermediate
Technical Requirements
  • Strong experience in Python and test automation frameworks (Pytest, Selenium/Playwright, API testing)
  • Experience with performance testing tools (JMeter, Locust, K6)
  • Familiarity with LLM evaluation tools (e.g., DeepEval, TruLens)
  • Knowledge of SQL and data validation tools
  • Experience with CI/CD pipelines (GitLab) and version control (Git)
  • Exposure to test reporting tools (Allure, TestRail)
Key Responsibilities
1. AI & LLM Testing
  • Build automated tests to evaluate AI outputs for accuracy, consistency, and reliability
  • Validate Retrieval-Augmented Generation (RAG) systems using metrics like relevance and correctness
  • Create regression tests to detect changes in AI behavior (prompt drift)
2. System & Integration Testing
  • Test integrations between AI systems and enterprise platforms (e.g., SAP)
  • Perform API testing, including security and access control validation
  • Design performance tests for latency, scalability, and system throughput
3. Quality & Governance
  • Align test cases with system requirements and user needs
  • Support release readiness through structured testing reviews
  • Track and manage defects, ensuring traceability to data, models, or requirements

We offer*:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

*not applicable for freelancers

What You'll Do

5+ years in QA Automation
Experience testing data-driven systems, AI, or ML models
Strong analytical skills for defining test criteria in non-deterministic systems
Ability to collaborate with engineers, data scientists, and product teams
Experience in regulated industries (defense, aerospace) will be a plus
English level - at least Upper-Intermediate

Skills & Technologies

Business Services & Consulting

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