About the company
ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better.
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.
- 5+ years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.
- Hands-on depth designing, shipping, and operating agentic systems in production — multi-agent orchestration, tool calling, planning loops, memory, and failure recovery.
- 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.
Conditions
- Build and deliver high-impact software that powers digital experiences for millions of users.
- Collaborate in a culture that values craftsmanship, quality, and innovation.
- Work symbiotically with AI.