> Markdown version of [/jobs/ext/2946645-senior-staff-ai-native-software-engineer-agentic-systems](https://www.wearedevelopers.com/jobs/ext/2946645-senior-staff-ai-native-software-engineer-agentic-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Staff AI-Native Software Engineer - Agentic Systems - **Company:** ServiceNow - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $190,900.0 - $334,100.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Software Quality, Distributed Systems, Python (Programming Language), Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Machine Learning Operations, Servicenow - **Published:** September 16, 2026 - **Apply:** https://jobs.smartrecruiters.com/ServiceNow/744000149661881-senior-staff-ai-native-software-engineer-agentic-systems ## About the Role * 8+ years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems. * 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. Nice to Have * Deeper specialization in search and retrieval at scale or MLOps/model observability. * Published work or open-source contributions in agentic systems or retrieval. * Exposure to LLM fine-tuning or inference optimization in production. ## Description We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. ## Related Videos - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [Let's Talk Quality! - Lilia Gargouri](https://www.wearedevelopers.com/videos/1815-let-s-talk-quality-lilia-gargouri) - [Applying Agile Principles to Incident Management ](https://www.wearedevelopers.com/videos/101-applying-agile-principles-to-incident-management) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [AI in Production: applied AI & enterprise use cases](https://www.wearedevelopers.com/videos/100130-ai-in-production-applied-ai-enterprise-use-cases) - [Building Trustworthy AI in Industry: Beyond Traditional Cybersecurity](https://www.wearedevelopers.com/videos/1948-building-trustworthy-ai-in-industry-beyond-traditional-cybersecurity) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)