QA Engineer

The Klick Group—comprising Klick Health (including Klick Katalyst and btwelve), Klick Media Group, Klick Applied Sciences (including Klick Labs), Klick Consulting, and Klick Ventures—is an ecosystem dedicated to realizing the full potential of our people and clients in life sciences. Founded in 1997, we have offices in New York, Philadelphia, Saratoga Springs, Toronto, London, São Paulo, and Singapore. Consistently named a Best Managed Company, Most Admired Corporate Culture, and Great Place to Work, Klick is committed to fostering a high-performance, people-first culture with creativity, collaboration, innovation, and impact across everything we do.

About our Product Engineering Craft

Job Description

This role blends quality engineering, automation, and emerging AI capabilities to elevate how testing is performed at Klick. The QA Engineer works across tools, frameworks, and product teams to implement intelligent testing solutions that improve coverage, accuracy, and reliability. The ideal candidate enjoys exploring new approaches, applying AI thoughtfully, and contributing to scalable, automated quality strategies.

What You’ll Do:

• Design and implement automated testing workflows that incorporate AI-driven techniques for expanding functional and regression coverage.
• Use generative models to create, refine, and analyze test cases that enhance product reliability and delivery speed.
• Integrate AI APIs and frameworks to support adaptive, context-aware test automation systems.
• Develop and maintain UI, API, and end-to-end automated test suites using modern tools within CI/CD pipelines.
• Collaborate with engineers and DevOps partners to ensure automated tests are stable, performant, and embedded throughout product pipelines.

Qualifications

Required:

• 3–6 years of experience in QA automation across functional, integration, and regression testing.
• Experience building or integrating AI- or LLM-enabled testing workflows.
• Proficiency with test automation frameworks such as Playwright, Cypress, or Selenium.
• Understanding of RESTful APIs, CI/CD pipelines, and cloud environments (AWS, GCP, or Azure).
• Programming experience with Python or JavaScript/TypeScript.

Desired:

• Familiarity with AI tools or frameworks such as OpenAI, Anthropic, LangChain, or LlamaIndex.
• Experience designing intelligent or adaptive testing systems.
• Knowledge of modern software architecture and automated quality practices.
• Ability to troubleshoot complex issues across distributed systems.
• Experience collaborating in cross-functional engineering teams.
• Interest in exploring emerging AI-assisted quality engineering approaches.

Additional Information

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