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C3.ai

Builds ready-made AI apps for industry and defense

Senior Quality Engineer - AI and Automation

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeGuadalajara, Jalisco, MexicoNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related field is required.
  • At least 5 years of experience in Quality Engineering, Test Automation, SDET, or Software Engineering roles is required.
  • Strong programming experience in Java, Python, or a similar object-oriented language is required.
  • Hands-on experience developing and maintaining automated test frameworks, including UI, API, and end-to-end automation testing, is required.
  • Experience with modern test automation tools such as Playwright, Selenium, Cypress, or equivalent is required.
  • Experience integrating automated tests into CI/CD pipelines and working with Git is required.
  • Understanding of the software development lifecycle, Agile methodologies, and quality engineering best practices is required.
  • Ability to analyze complex systems, architect test frameworks, and identify quality risks is required.

Responsibilities

  • Define and execute quality strategies for AI-enabled products and platforms.
  • Design, develop, and maintain scalable automated test frameworks across UI, API, and end-to-end testing.
  • Create test plans covering functional, integration, end-to-end, performance, and reliability testing.
  • Develop automated validation approaches for AI-generated outputs and agentic workflows, including accuracy, reliability, consistency, and safety.
  • Establish quality metrics and dashboards to measure product health and AI system effectiveness.
  • Integrate automated tests into CI/CD pipelines and build automated quality gates for AI workflows.
  • Identify quality risks early and drive resolution strategies across complex systems.
  • Evaluate and implement AI-powered testing tools and methodologies.
  • Mentor engineers, promote quality engineering best practices, and drive continuous improvement initiatives across the organization.

Desired Qualifications

  • Experience testing AI-powered applications, machine learning systems, large language models, or AI agents.
  • Experience designing evaluation strategies for AI outputs, including accuracy, reliability, consistency, and safety.
  • Familiarity with AI evaluation frameworks such as DeepEval, LangSmith, Ragas, or similar tools.
  • Experience validating Retrieval-Augmented Generation systems and knowledge of prompt engineering and AI model evaluation techniques.
  • Experience building automated quality gates for AI workflows and AI-assisted test generation.
  • Experience with cloud platforms such as AWS, Azure, or GCP, containerized environments, and observability and monitoring tools.
  • Experience mentoring engineers and driving quality initiatives across teams.

About the Company

C3.ai

Builds ready-made AI apps for industry and defense

C3.ai builds software that large companies and government agencies use to create and run AI applications, and it sells ready-made AI apps for industries such as manufacturing, energy, and defense. When it listed on the New York Stock Exchange in 2020 under the ticker AI, its shares more than doubled on the first day. Its platform pulls data from business systems and equipment sensors into one shared model, and its apps predict machine failures, plan inventory, and schedule production. Customers pay mainly through subscriptions, and its C3 Code tool builds apps from plain-English requests. Tom Siebel, who earlier founded Siebel Systems and sold it to Oracle, started C3.ai in 2009, and it is based in Redwood City, California.

Company size
501-1,000
Company stage
IPO
Headquarters
Redwood City, CA
Founded
2009

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