Company Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description

WHAT YOU GET TO DO IN THIS ROLE:

• Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
• Collaborate with other teams to integrate AI solutions
• 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.
• Implement 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
  Qualifications

TO BE SUCCESSFUL IN THIS ROLE YOU HAVE:

• 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.
• 4+ years of experience with Java or a similar OO language
• Experience with Retrieval Augmented Generation (RAG)
• Experience working with one or more LLMs
• Experience with indexing and searching data
• 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
• Analytical and design skills
  Additional Information