
Staff Software Engineer
ServiceNow · Posted Nov 2
Cloud-based workflow automation and artificial intelligence platform services
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About the role
The role is for a Staff Software Engineer at ServiceNow working on AI-native software built around LLMs, agents, and retrieval systems. The software runs on IaaS such as Google Cloud and AWS, and the engineer will own code through deployment, testing, evaluation, and validation of traditional and AI components. The position involves working with and mentoring software and AI engineers and collaborating across product and engineering teams on scalable AI-driven solutions.
What you will do
- Develop intuitive AI-native software that meets and exceeds the needs of the company
- Development of technical specifications and planning, including model selection, prompt/agent design, and data/retrieval architecture
- Analyze and automate tests for software components prior to delivery, and build evaluation harnesses (accuracy, regression, and hallucination checks) for AI features
- Troubleshoot coding and model-behavior problems quickly and efficiently to ensure a productive workplace
- Follow secure software coding practices, including AI-specific safeguards (prompt-injection defense, data privacy, PII handling, and responsible-AI guardrails)
- Professionally maintain all software and create updates regularly to address customer and company concerns, including monitoring model performance and drift in production
- IaaS procedures and practices, including managed AI/ML services
- Communicate effectively and professionally in all forms of communication with internal and external customers
- Liaise with team members, management, and clients
- Be transparent about challenges, failures, and successes, including the limitations and non-deterministic nature of AI systems
- Deliver presentations and write progress reports for stakeholders, translating AI capabilities and trade-offs for both technical and non-technical audiences
- Actively seek ways to improve business software processes and interactions, including where AI and automation can add value
- Manage individual contributors' daily tasks
- Mentor software and AI engineers to ensure high product quality across both deterministic code and AI/model behavior
- Perform detailed code reviews, including reviews of prompts, agent logic, and evaluation results
- Participate in Root Cause Analysis for customer-reported issues, including failures rooted in model behavior, hallucinations, or data/retrieval quality
- Aid and support the coaching and training of other team members to ensure all employees are confident in the use of software applications and AI tooling
- Collaborate closely with cross-functional teams including product management, domain specialists, and engineering to define requirements and develop scalable AI-driven solutions
- Stay current with the latest advancements in AI and related technologies (new models, frameworks, and techniques), and proactively identify opportunities to apply them to our products and services
Skills used in this role
What the employer is looking for
- 8-10 years of practical software development experience
- 2 years of experience with prompt engineering and prompt/agent scripting
- Agentic delivery experience. Direct experience authoring agentic instructions and prompts, designing AI-driven autonomous workflows, and building the evaluation and testing that verifies them. This is required, not preferred.
- Engineering fundamentals. Strong command of data structures, algorithms, system design, APIs, data modeling, and testing. Proficiency in front-end development with a modern component framework, server-side development, relational data modeling, and REST and GraphQL API design.
- Develop and optimize microservices that power high-performance data, handling up to 10 million rows
- Experience with RESTful and streaming APIs, model/inference endpoints, web services, and integration technologies
- Create customer-centric AI solutions such as RAG assistants, agentic workflows, and AI-driven customer service
- Outstanding collaboration and communication skills.
- Mentorship. Demonstrated mentorship of less-experienced engineers and a record of raising quality through code review.
- Strong problem-solving and debugging skills, including working with non-deterministic AI outputs
- Ability to learn quickly, take direction, work independently, and as part of a team
- Ability to develop unit tests and AI evaluation harnesses (accuracy, regression, and hallucination checks) for code components, prompts, and complete applications
- Ability to debug and isolate the root cause of complex issues in probabilistic and distributed systems
- Experience with Agile and Scrum development methodologies
- Experience working with APIs, REST standards, JSON, SQL, and NoSQL/vector stores
- Bachelor's degree in computer science or a related field; coursework or experience in ML/AI a plus
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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