About The Job You’re Considering

We are seeking a passionate and innovative Software Development Engineer in Test (SDET) to join our Quality Engineering team and lead the development of LLM- and agentic-based testing solutions. This role blends traditional automation expertise with cutting-edge AI technologies to build intelligent, scalable, and autonomous testing frameworks that redefine how we validate software quality.

Your role

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.
Train business users and QA teams on utilizing AI-powered testing tools and dashboards.

Your Skills And Experience

At least 1 year experience in AI based Testing environments
Programming Languages: Strong proficiency in Python (preferred), Java, or JavaScript.
Automation Tools: Experience with Selenium, Playwright, Cypress, or similar frameworks.
API Testing: Skilled in tools like Postman, RestAssured, or equivalent.
LLM/NLP Fundamentals: Understanding of transformers, prompt engineering, and model integration.
Agentic Frameworks: Exposure to LangChain, AutoGPT, or Semantic Kernel.
Test Data Engineering: Experience with SQL/NoSQL, synthetic data generation, and data masking.
CI/CD & DevOps: Familiarity with Jenkins, GitHub Actions, or Azure DevOps.
Cloud & Containers: Hands-on experience with AWS, Azure, or GCP; Docker, Kubernetes.
Monitoring & Observability: Knowledge of Grafana, ELK Stack, or Prometheus.
Soft Skills: Excellent communication, collaboration, and problem-solving abilities.
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience
Experience working in Agile/Scrum environments.
Exposure to AI/ML testing or model validation practices.

Life at Capgemini

Capgemini Supports All Aspects Of Your Well-being Throughout The Changing Stages Of Your Life And Career. For Eligible Employees, We Offer

Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to

engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Get the future you want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.

Schedule

Full-time

Primary Location

US-MI-Grand Rapids

Organization

NA APPS LOC PRACTICE

Test Engineer - AI/LLM based frameworks

Job Type