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Staff Software Engineer - Conversational AI

ServiceNow

$147,300 - $257,800
Oct 30, 2025
San Diego, CA, US
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ServiceNow is looking to transform how work is done by leveraging AI-enhanced technology to connect people, systems, and processes, enabling organizations to work smarter, faster, and better.

Requirements

  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
  • 6+ years of experience with Java or a similar OO language
  • Passion for JavaScript and the Web as a platform, reusability, and componentization
  • Experience with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations
  • Experience with any of the modern UI frameworks like Angular, React or Vue
  • Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines
  • Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency.

Responsibilities

  • Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
  • Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
  • Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs
  • Contribute to the design and implementation of new products and features while also enhancing the existing product suite
  • Be a mentor for colleagues and help promote knowledge-sharing

Other

  • Analytical and design skills
  • Ability to manage projects with material technical risk at a team level
  • Understanding software quality principles including reliability, observability, and production readiness.
  • Ability to troubleshoot complex systems and optimize performance across the stack.
  • Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems