Sr Software Engineer

As a Senior AI Full-Stack Product Engineer at ServiceNow, you will build AI-powered product experiences that solve meaningful Field Service Management customer problems. You will combine full-stack software engineering, product thinking, and hands-on AI development to deliver reliable, scalable production capabilities. What you get to do in this role: • Own end-to-end development across user interfaces, backend services, AI capabilities, enterprise data, and integrations. • Partner with product managers, designers, and domain experts to understand customer needs and determine where AI delivers meaningful value. • Build applications using large language models (LLMs), retrieval-augmented generation (RAG), structured outputs, tool calling, and agentic workflows. • Develop conversational and multimodal experiences across web, chat, and voice, with attention to usability, context, latency, and reliability. • Integrate AI capabilities with enterprise APIs, data, and business workflows while enforcing security, privacy, and access controls. • Design multi-step AI workflows with appropriate autonomy, human handoffs, exception handling, and recovery. • Develop and refine prompts, system instructions, and tool definitions using evaluations and production feedback. • Build scalable application services with testing, observability, error handling, and performance optimization. • Prototype rapidly and turn successful experiments into maintainable production software. • Use AI coding tools effectively while maintaining engineering quality and security. • Provide technical leadership, mentor engineers, and establish reusable development patterns. To be successful in this role, you have: • A bachelor’s degree in Computer Science or a related technical field. • A strong track record of building and operating production software, including hands-on experience developing AI/LLM-powered applications. • Full-stack development experience spanning user-facing applications, backend services, APIs, and data models. • Strong software engineering fundamentals in system design, distributed systems, testing, and production operations. • Practical knowledge of prompting, context management, RAG, structured outputs, tool calling, and agent orchestration. • Experience integrating applications with enterprise data, APIs, workflows, and external systems. • An understanding of AI application trade-offs, including latency, cost, reliability, hallucination, grounding, security, and data privacy. • The ability to use evaluations, tracing, and observability to diagnose failures and improve production behavior. • Strong product judgment and the ability to take ambiguous customer problems from concept to production. • Effective collaboration, communication, technical leadership, and mentoring skills.   Preferred qualifications: • Experience building agentic applications and multi-step autonomous workflows. • Experience with conversational, multimodal, voice, streaming, or real-time AI applications. • Experience delivering AI-powered enterprise workflows. • Experience with AI coding agents, rapid prototyping, and developer productivity tools. • Forward deployment experience, working directly with customers to implement solutions and demonstrate measurable outcomes. • Experience building products used by enterprise customers. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNo