Senior Staff Software Engineer - Agent Development

ServiceNow is a company focused on automating workflows and enhancing productivity through AI technology. They are seeking a Senior Staff Software Engineer to design and develop scalable software components, collaborate with product managers, and mentor other engineers while fostering a culture of continuous improvement.

Responsibilities:

• Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability
• 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
• Mentor other engineers on the team in how to build, maintain, and evolve great AI powered software solutions
• 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

Requirements:

• Experience in leveraging or critically 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
• 12 years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years experience; or equivalent experience
• Hands-on depth designing, shipping, and operating agentic systems in production — multi-agent orchestration, tool calling, planning loops, memory, and failure recovery. Not prototypes
• Production-grade Python. Systems language (Go, Java, or C++) is a plus
• Working experience with frontier AI SDKs (Anthropic, Google, or OpenAI) — prompt engineering, structured outputs, and model evaluation in production settings
• Familiarity with RAG and retrieval patterns in production — vector stores, hybrid search, and retrieval evaluation metrics
• Track record of technical leadership: architecture ownership, code quality bar-raising, and mentoring engineers on production AI practices
• Comfort operating in fast-moving, ambiguous, startup-like AI product environments with high degree of ownership
• Experience with multi-agent coordination patterns (A2A, MCP)
• Familiarity with agent frameworks (LangChain, LlamaIndex, or similar)
• Prior experience shipping AI systems in enterprise software
• Experience with AI observability tooling (tracing, cost tracking, LLM-specific monitoring)
• Strong appetite for continuous incremental wins and completing challenging deliverables fast