Teams at Verisk

Leads QA and test automation across multiple agile applications. Responsibilities include developing test plans and cases, building automation frameworks and infrastructure, executing manual and automated functional and non-functional testing, reporting defects, coordinating end-to-end testing, and integrating regression testing with Jenkins. The role requires expertise in Selenium, Playwright, Cucumber, Java, TypeScript, API and database testing, mobile automation, load testing, Agile/Scrum, and TDD, BDD, and ATDD.

Build and deploy production-grade Generative AI applications using Python, APIs, LLMs, RAG pipelines, vector databases, and AWS. Develop prompt engineering and model evaluation workflows, integrate commercial and open-source AI models, and optimize systems for reliability, scalability, latency, and cost. Collaborate with product, architecture, data science, and engineering teams while following software engineering, testing, code review, and CI/CD practices.

Build and deploy production Generative AI applications using Python, LLMs, RAG pipelines, vector databases, and cloud platforms. Develop scalable REST APIs with FastAPI or related frameworks, integrate commercial and open-source models, optimize prompts and AI evaluations, and improve system reliability, latency, scalability, and cost. Collaborate with product, architecture, data science, and engineering teams while following testing, code review, version control, and CI/CD best practices.