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Regression Test Engineer with AI/ML

  • Canada

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Job type
Contract
Posting language
English
Posted

Original job description

Title- Regression Test Engineer with AI/ML

Location- Canada

Contract

Job Description:

We are looking for an experienced AI Automation Engineer to pilot an agent-driven regression-testing framework for Model Factory test cases. The role will focus on reducing manual effort in test-case creation and maintenance by leveraging Python, automated testing, LLMs, agent workflows, and RAG to generate, execute, validate, and report regression tests.

Key Responsibilities

  • Design and develop an AI-driven framework to automate regression testing for Model Factory applications.
  • Use Python and test automation frameworks to generate, recommend, and maintain high-value regression test cases.
  • Build LLM-powered agents and RAG workflows to analyze requirements, existing test cases, and application behavior.
  • Execute and validate tests in lower environments, comparing expected versus actual results.
  • Integrate automated testing workflows into CI/CD pipelines for continuous regression testing.
  • Leverage AWS services to support scalable test execution and automation.
  • Generate actionable test reports highlighting failures, discrepancies, coverage gaps, and potential defects.
  • Collaborate with development, QA, and DevOps teams to improve test coverage and reduce manual testing effort.

Required Skills

  • Strong hands-on experience with Python and automated testing.
  • Experience with regression testing, test-case generation, and test automation frameworks.
  • Knowledge of LLMs, AI agents, RAG, and AI-driven workflow automation.
  • Experience with CI/CD pipelines and AWS cloud services.
  • Strong understanding of test validation, result comparison, defect reporting, and software quality practices.

Preferred Skills

  • Experience building agentic AI solutions for software testing.
  • Familiarity with Model Factory or ML model lifecycle testing.
  • Experience integrating AI-powered automation into enterprise development workflows.

Ideal Candidate: A hands-on Python automation engineer with experience in AI/LLM agent workflows, AWS, and CI/CD, capable of building intelligent regression-testing solutions that minimize manual test design and maintenance.

Nitesh Jaiswal | Tekgence Inc

Linkedin:- linkedin.com/in/nitesh-ch-a378b5222

Direct: 469-421-5604 , Ext- 218 • nitesh.j@tekgence.com

6655 Deseo Dr, Suite 104,Irving, TX , 75039 • www.tekgence.com

More about this job

Responsibilities

Design and build an AI-driven regression-testing framework using Python, automated testing, LLM agents, and RAG to generate, execute, validate, and maintain test cases. Integrate testing into CI/CD and AWS workflows, report failures and coverage gaps, and collaborate with development, QA, and DevOps teams to reduce manual effort.

Requirements

Requires strong hands-on Python and test automation experience, including regression testing, test-case generation, validation, and defect reporting. Candidates should know LLMs, AI agents, RAG, CI/CD, and AWS; experience with agentic testing solutions or Model Factory and ML lifecycle testing is preferred.

Skills

  • Python
  • Automated Testing
  • Regression Testing
  • Test-Case Generation
  • Test Automation Frameworks
  • Large Language Models
  • AI Agents
  • Retrieval-Augmented Generation
  • CI/CD Pipelines
  • AWS
  • Test Validation
  • Defect Reporting
  • Software Quality
  • Agentic AI
  • Model Lifecycle Testing

Visa sponsorship

Not detected in the job text

Hiring contact

Nitesh Jaiswal

Hiring contact email

nitesh.j@tekgence.com

Categories

  • Technology
  • Software
  • Engineering
  • Data & Analytics

Keywords

  • Python
  • Regression Testing
  • Test Automation
  • Test-Case Generation
  • Model Factory
  • Large Language Models
  • AI Agents
  • Agent Workflows
  • Retrieval-Augmented Generation
  • RAG
  • CI/CD
  • AWS
  • Cloud Services
  • Test Validation
  • Expected-versus-Actual Comparison
  • Defect Reporting
  • Test Coverage
  • Software Quality
  • ML Model Lifecycle Testing
  • Continuous Regression Testing
  • Lower Environments
  • QA
  • DevOps

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