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ServiceNow is seeking a Staff Software Engineer to lead the design, development, and delivery of complex, high-impact AI-native and cloud-native systems. You will work at the intersection of UI, backend, and AI-driven engineering, architecting solutions that improve developer experience, expand platform capabilities, and drive engineering excellence across teams.
In this role, you will:
- Design and implement AI-native product development using cutting-edge technical approaches to deliver business value
- Build high-quality, scalable, and reusable code by enforcing best practices around software engineering architecture and processes (code reviews, unit testing)
- Drive complex, multi-team technical initiatives and resolve architectural conflicts without management escalation
- Own your code from design through implementation, test automation, and delivery
- Collaborate with product managers to define feature sets that solve real customer problems
- Lead architecture and code reviews, mentor senior engineers, and raise the front-end bar across the organization
- Build evaluation infrastructure: golden datasets, multi-turn suites, judge calibration, CI gates, and drift detection
- Bring judgment on where AI belongs in the engineering workflow and set guardrails for AI-assisted development
- Make informed architectural and technical trade-off decisions between latency, cost, scalability, reliability, and model quality
- Stay current with emerging AI/ML frameworks, services, and techniques; evaluate and recommend adoption
- Contribute to code and architecture standards; ensure adherence to established best practices
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter, faster, and better through its AI-native platform.
REQUIREMENTS:
- 8+ years of software engineering experience with a track record of delivering high-quality products
- 3+ years of hands-on work with LLM prompting, agent design, and retrieval systems (RAG, semantic search)
- Experience integrating LLM APIs (Anthropic, OpenAI, Bedrock, Vertex, or similar), including tool/function calling, structured-output enforcement, and guardrails
- Experience building and debugging evaluation harnesses and metrics for AI features (accuracy, regression detection)
- Working knowledge of embeddings, vector stores, and failure modes of probabilistic systems
- Strong JavaScript/Node.js and Python, Java, with solid data modeling and query optimization
- Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization
- Front-end experience with modern frameworks (React, Lit, Angular, or Vue) for conversation-first experiences
- Automated testing (unit and integration), CI/CD, containers, and observability; on-call or incident experience with customer-facing systems
- Current, effective use of AI coding agents with evidence of accountable delivery (precise specs, critical harnesses)
- Demonstrated mentorship and record of raising quality through code review
- Clear communication with both engineers and non-technical stakeholders
- Experience with LLM orchestration frameworks and vector databases (LangChain, LlamaIndex, pgvector, or similar)
- Familiarity with automated testing frameworks (JUnit, Playwright, TestNG) and CI/CD pipeline integration
- Understanding of software quality principles including reliability, observability, and production readiness
- Ability to troubleshoot complex systems and optimize performance across the stack
- Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency
- Comfort with development tools (IDEs, debuggers, profilers, source control, Unix-based systems)
- Critical thinking about integrating AI into work processes, decision-making, or problem-solving
