Sr. SDET

Advanced Tech Placement

Alpharetta (GA)

On-site

USD 120,000 - 160,000

Full time

22 hours ago
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Job summary

Advanced Tech Placement in Alpharetta/Georgia seeks a hands-on Senior QA Automation Engineer with expertise in traditional testing and AI/LLM-powered applications. Design and execute manual and automated tests for UI and API, build robust automation frameworks, and contribute to CI/CD integration.

You will work with Engineering, Product, and QA teams to improve test coverage, reliability, and efficiency, leveraging Python/JS/TS, pytest, Playwright/Cypress/Selenium, and advanced QA practices.

Qualifications

  • Hands-on QA testing—manual and automated; strong API/UI testing experience.
  • Proficient in Python, JavaScript or TypeScript; comfort with test automation.
  • Experience with modern QA tools: pytest, Playwright, Cypress, Selenium.
  • Experience testing AI/LLM-powered applications and agentic workflows.
  • Ability to design tests for multi-turn conversations and non-deterministic AI outputs.
  • Familiar with LLm evaluation frameworks and regression testing.
  • Knowledge of BDD, TDD, ATDD and Agile methodologies; CI/CD familiarity.
  • Experience with SQL/NoSQL databases and QA tooling like Jira.

Responsibilities

  • Design and execute manual and automated tests for UI, API, integration, end-to-end, and regression testing.
  • Test AI agents, multi-turn conversations, LLM outputs, and agentic workflows.
  • Build evaluation frameworks and regression suites to measure LLM quality and reliability.
  • Automate API and UI testing using Python, JS/TS, pytest, Playwright, Cypress, or Selenium.
  • Develop test strategies using BDD, TDD, and ATDD; integrate automation into CI/CD.
  • Identify coverage gaps and edge cases to improve automation.
  • Use Jira and test management tools to manage test cases, defects, and metrics.
  • Collaborate with Engineering, Product, and QA teams to drive quality improvements.

Skills

QA testing
Automation frameworks
Python
JavaScript/TypeScript
pytest
Playwright
Cypress
Selenium
AI/LLM testing
Multi-turn conversations
LLM evaluation frameworks
CI/CD
Jira
Test management
Agile methodologies
BDD/TDD/ATDD
SQL/NoSQL
Non-deterministic AI outputs

Tools

pytest
Playwright
Cypress
Selenium
Jira

Job description

Senior QA Automation Engineer- AI-Enabled TestingOverview

We are looking for a hands-on QA Automation Engineer/SDET with strong experience in traditional software testing and ideally AI/LLM-powered applications. This person should be skilled in manual and automated testing, API/UI automation, and CI/CD, with experience testing AI agents, multi-turn conversations, and LLM outputs.

This is not an AI research role. We need a strong QA Automation Engineer who can apply AI and modern automation practices to improve software quality, test coverage, and testing efficiency.

Responsibilities
  • Design and execute manual and automated tests for UI, API, integration, end-to-end, and regression testing.
  • Test AI agents, multi-turn conversations, LLM outputs, and agentic workflows.
  • Build evaluation frameworks and regression suites to measure LLM quality, reliability, and consistency.
  • Automate API and UI testing using Python, JavaScript/TypeScript, pytest, Playwright, Cypress, or Selenium.
  • Develop test strategies using BDD, TDD, and ATDD methodologies.
  • Integrate automation into CI/CD pipelines.
  • Identify coverage gaps, edge cases, and opportunities to improve automation.
  • Use Jira and test management tools to manage test cases, defects, and quality metrics.
  • Collaborate with Engineering, Product, and QA teams to drive quality improvements.
Required Skills
  • Strong experience in manual and automated QA testing.
  • Programming experience in Python, JavaScript, or TypeScript.
  • Experience with pytest, Playwright, Cypress, or Selenium.
  • Strong API and UI automation experience.
  • Experience testing LLM-powered applications, AI agents, or agentic workflows.
  • Experience designing tests for multi-turn conversations and non-deterministic AI outputs.
  • Experience with LLM evaluation frameworks and regression testing.
  • Knowledge of BDD, TDD, ATDD, and Agile methodologies.
  • Experience with CI/CD, Jira/test management, SQL/NoSQL, and related QA tools.
  • Demonstrated hands-on use of AI/GenAI tools for testing and automation.
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