Software Engineer - AI​/ML

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 — Service Now 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.

The Advanced Technology Group (ATG) at Service Now is a customer-focused innovation group building intelligent softwareandsmartuser experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers.

We are a group of researchers, applied scientists, engineers, and product managers with a dual mission.

We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work  equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

• Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.

• Drive the architecture and implementation of GenAI-driven features across our products.

• Design and build scalable and reusable platform services that leverage LLMs to power user experiences.

• Collaborate cross-functionally with product, research, and platform teams to translate business goals into GenAI solutions.

• Define best practices for prompt engineering, fine-tuning, and evaluating LLM performance across different use cases.

• Serve as a thought leader in Generative AI adoption, guiding teams through design patterns, performance trade-offs, and ethical AI considerations.

• Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery

• Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.

• Contribute to the design and implementation of new products and features while enhancing existing product capabilities.

• Integrate automated testing into development workflows to ensure consistent quality across releases.

• Participate in design and code reviews ensuring best practices in performance, maintainability, and testability.

• Develop comprehensive test strategies covering functional, regression, integration and performance aspects

• Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality

• Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team.

• Build integrations with third-party applications using their cutting-edge frameworks.

• Experience in leveraging critical 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.

• Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience.

• Proficiency in Java or similar object-oriented languages.

• Hands-on experience with GenAI technologies, including working with LLMs (e.g., OpenAI, Anthropic, Gemini, Mistral, etc.)

• Strong understanding of prompt engineering techniques and experience in prompt tuning, retrieval-augmented generation (RAG), or fine-tuning LLMs for domain-specific applications.

• Ability to critically evaluate and integrate GenAI into workflows, decision-making, and customer-facing capabilities.

• Experience with modern front-end frameworks such as Angular, React, or Vue.

• Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization

• Familiarity with automated testing frameworks…