AI/LLM Engineer

About Capgemini

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

AI/LLM Engineer at Capgemini

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 and 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.

Your Skills and Experience

• Around 1 year of experience working in or supporting AI-based testing environments, or strong interest with hands-on exposure through projects or coursework.
• Working knowledge of at least one programming or scripting language such as Python (preferred), Java, or JavaScript.
• Basic to intermediate experience with test automation tools like Selenium, Playwright, Cypress, or similar frameworks.
• Familiarity with API testing concepts and tools such as Postman, RestAssured, or equivalent.
• Foundational understanding of LLMs and NLP concepts, including prompt engineering and basic model integration; exposure to agentic frameworks (e.g., LangChain, AutoGPT, Semantic Kernel) is a plus.
• Basic experience with test data handling, including working with SQL/NoSQL databases, synthetic test data, or data masking under guidance.
• Exposure to Agile/Scrum environments, CI/CD practices, and cloud or container platforms (AWS, Azure, or GCP; Docker/Kubernetes), along with good communication and collaboration skills.

Compensation and Benefits

The base compensation range for this role is $46,400 - $111,090. Capgemini offers a comprehensive benefits package including paid time off, medical, dental, and vision coverage, retirement savings plans, and life and disability insurance.

Key skills/competency

• LLM-based Testing
• Agentic Workflows
• Test Automation
• Python Programming
• API Testing
• CI/CD Pipelines
• NLP Integration
• Test Data Management
• Cloud Platforms (AWS, Azure, GCP)
• Defect Triage