*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.*
Location: Sunnyvale, CA (hybrid)
Requirements:
- Strong practical experience with GenAI, LLMs and agents AI to software quality engineering and test lifecycle automation .
- Ability to convert requirements, user stories, specifications, API contracts and technical documentation into executable test scenarios and test cases.
- Experience building solutions that analyze requirements for functional gaps, ambiguity, traceability, risk and test coverage.
- Hands-on experience designing multi-agent workflows for requirement analysis, test generation, defect analysis, validation and quality intelligence.
- Capability to develop AI-assisted mechanisms for defect identification, classification, deduplication, severity assessment, root-cause analysis and automated defect filing.
- Expreience in developing AI/LLM-based validation for multilingual and localized content, including translation accuracy, formatting, connect, truncation, and content consistency.
- Strong understanding accessibility standards such as WCAG2.2 with the ability to build AI-assisted automated checks for accessibility violations across web experiences.
- Strong experience with Automation frameworks API/UI testing , CI/CD integration, test orchestration, reporting.
- Experience building RAG pipelines using embeddings and vector database to ground AI generated test scenarios and validations in approved requirements and product knowledge.
- Ability to define the AI-QE Solution architecture, technical roadmap, reusable accelerators, engineering standard, and measurable business outcomes.
- Strong hands-on expertise in Python and Java/Typescript with experience integrating LLM and AI services through APIs
- Ability to lead technical discussions with QE, engineering, product, and client stakeholders and translate business problems into scalable AI solutions.
Technology Exposure:
- LLMs, RAG, Agentic AI, Prompt Engineering, Multimodal AI, AI Evaluation
- Python, Java/TypeScript
- Playwright, REST API automation, CI/CD
- WCAG 2.1/2.2
- Embedding, Vector DB, Document Parsing
Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.
Skills Required
- Applicants must be authorized to work for any employer in the United States without visa sponsorship or sponsorship transfer.
- Strong practical experience with Generative AI, LLMs, and agentic AI applied to software quality engineering and test lifecycle automation.
- Ability to convert requirements, user stories, specifications, API contracts, and technical documentation into executable test scenarios and test cases.
- Experience building solutions that analyze functional gaps, ambiguity, traceability, risk, and test coverage.
- Hands-on experience designing multi-agent workflows for requirements analysis, test generation, defect analysis, validation, and quality intelligence.
- Experience developing AI-assisted mechanisms for defect identification, classification, deduplication, severity assessment, root-cause analysis, and automated defect filing.
- Experience developing AI or LLM-based validation for multilingual and localized content.
- Strong understanding of WCAG 2.2 accessibility standards and ability to build AI-assisted automated accessibility checks for web experiences.
- Strong experience with API and UI automation frameworks, CI/CD integration, test orchestration, and reporting.
- Experience building RAG pipelines using embeddings and vector databases to ground AI-generated test scenarios and validations.
- Ability to define AI quality engineering solution architecture, technical roadmaps, reusable accelerators, engineering standards, and measurable business outcomes.
- Strong hands-on expertise in Python and Java or TypeScript, including integrating LLM and AI services through APIs.
- Ability to lead technical discussions with quality engineering, engineering, product, and client stakeholders and translate business problems into scalable AI solutions.
What We Do
When clients come to us for product design and development, they get a full range of technical expertise and laboratory resources, but they also get a team that’s relentless when it comes to solving problems and creating designs that are the ideal combination of function and form. What does that mean? We build tools that save lives. For surgeons, it means they have tools that not only address but anticipate their needs, which helps improve their patients’ outcomes. We create products that save money and ensure safety. For people juggling family, work, and other demands, it means they have products that provide real help in managing their everyday lives. And for businesses, it means their bottom line is supported with durable tools that improve efficiency and protect their teams. From concept to production plan, or at any phase in between, we are a partner that can extend your product development know-how or provide additional mindpower to free up in-house teams.
