Job description

Summary Join Guidewire as a Software Engineer II, Application Platform - AI Services, and be part of the team building our next-generation AI platform. This platform provides the essential tools to design AI agents, to connect to large language models, and manage the knowledge bases that power modern, intelligent insurance applications. You will be a contributor on this platform, using AI coding tools to build services that power developer experience, ensuring quality, scalability, and security. This is an onsite, full-time role based in the United States. You will contribute to delivering operational excellence and transformative innovation for Guidewire's Product Development & Operations (PDO) organization. Our priorities include accelerating AI, cloud, and data platform adoption, and ensuring our solutions deliver measurable value and efficiency for customers. At Guidewire, you'll contribute to a culture of collaboration, continuous improvement, and customer-centricity, helping transform the way the world's P&C insurers do business. Job Description Key Responsibilities Develop and maintain features for Guidewire s application platform, primarily focusing on backend services. Apply agentic coding tools as Guidewire uses them to dramatically accelerate development. Write clean, well-tested code with attention to quality and security. Collaborate with team members to deliver secure, scalable, and efficient platform operations. Participate in code reviews and learn from team best practices. At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes. Required Qualifications 3-5 years of experience in backend software engineering, with experience building web services or applications. Experience with coding agents and automation tools. Familiarity with one of Java, JavaScript, TypeScript, Python, with willingness to learn other languages. Familiarity with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases (vector DBs), AI agents, and Model Context Protocol (MCP). Good collaboration and communication skills. Familiarity with or willingness to learn Kubernetes and infrastructure as code. Demonstrated ability to embrace AI and apply it to your role as well as use data-driven insights to drive innovation, productivity, and continuous improvement. The US base salary range for this full-time position is $109,000 - $186,000. Your base pay will depend on your experience, skills, education, training, and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance. About Guidewire Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540 insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire. As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600 successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation. For more information, please visit www.guidewire.com and follow us on Twitter: Guidewire_PandC. Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it s applicable to the position. Guidewire is proud to be a disability inclusive employer. We are committed to providing individualized accommodations and support to candidates for any part of our hiring process. If you think you may need disability-related accommodations, please email EmployAbility at accommodations-gw employ-ability.org.uk, our disability partner, or schedule a call with an EmployAbility expert (calendar booking slot) for a confidential conversation.

Requirements

Must-haves

Key Responsibilities Develop and maintain features for Guidewire s application platform, primarily focusing on backend services.
Apply agentic coding tools as Guidewire uses them to dramatically accelerate development.
Write clean, well-tested code with attention to quality and security.
Collaborate with team members to deliver secure, scalable, and efficient platform operations.
Participate in code reviews and learn from team best practices.
At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.
Required Qualifications 3-5 years of experience in backend software engineering, with experience building web services or applications.
Experience with coding agents and automation tools.
Familiarity with one of Java, JavaScript, TypeScript, Python, with willingness to learn other languages.
Familiarity with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases (vector DBs), AI agents, and Model Context Protocol (MCP).
Good collaboration and communication skills.
Familiarity with or willingness to learn Kubernetes and infrastructure as code.
Demonstrated ability to embrace AI and apply it to your role as well as use data-driven insights to drive innovation, productivity, and continuous improvement.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aijavajavascripttypescriptpythonkubernetes

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off