Capgemini is looking to redefine software quality validation by developing intelligent, scalable, and autonomous testing frameworks leveraging LLM- and agentic-based solutions.
Requirements
- At least 1 year experience in AI based Testing environments
- Strong proficiency in Python (preferred), Java, or JavaScript.
- Experience with Selenium, Playwright, Cypress, or similar frameworks.
- Skilled in tools like Postman, RestAssured, or equivalent.
- Understanding of transformers, prompt engineering, and model integration.
- Exposure to LangChain, AutoGPT, or Semantic Kernel.
- Experience with SQL/NoSQL, synthetic data generation, and data masking.
Responsibilities
- Design and implement end-to-end testing frameworks leveraging Large Language Models (LLMs) and agentic workflows.
- Develop and maintain automated test suites for UI, API, and data layers across multiple platforms.
- Collaborate with AI/ML engineers to integrate Natural Language Processing (NLP) models into testing pipelines.
- Build and manage test data pipelines for diverse applications and environments.
- Create and maintain CI/CD pipelines to support continuous testing and deployment.
- Identify and resolve environmental and data dependencies for comprehensive E2E testing.
- Lead defect triage, backlog grooming, and root cause analysis sessions.
Other
- Train business users and QA teams on utilizing AI-powered testing tools and dashboards.
- Excellent communication, collaboration, and problem-solving abilities.
- Experience working in Agile/Scrum environments.
- Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
- The base salary range for the tagged location is $46,400 - $98,280.
