Sr Software Engineer
ServiceNow · Posted Oct 28
Cloud-based workflow automation and artificial intelligence platform services
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About the role
The role sits within ServiceNow's Field Service Management product area, where the team builds AI-powered product experiences for customer problems. The work combines full-stack software engineering, product thinking, and hands-on AI development using LLMs, RAG, and agentic workflows. This Senior AI Full-Stack Product Engineer will own end-to-end development across user interfaces, backend services, enterprise data, and integrations to deliver reliable production capabilities.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About ServiceNow
ServiceNow provides an end-to-end cloud-based platform and workflow automation solutions that help enterprises digitize and unify operations. Its platform leverages artificial intelligence and machine learning to streamline IT service management, customer service, and business processes.
- Industry
- Software Development
- Company size
- 10001+ employees
- Founded
- 2004
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $4.08B raised
- 2026-04-17Post IPO Debt$4.00B
Leadership
Chairman and Chief Executive Officer
President and Chief Financial Officer
President, Chief Product Officer and Chief Operating Officer
Chief Technology Officer and EVP, DevOps
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