It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.
About the role
• Lead the design and architecture of complex, production-critical AI-native systems, including LLM integrations, agentic workflows, retrieval pipelines, and inference services • Own end-to-end delivery of medium-to-large features or systems, including specification, design, implementation, testing, deployment, and production monitoring
What they're looking for
- 8+ years of software development experience with a Bachelor's degree, OR 6+ years with a Master's degree, OR 3+ years with a PhD, OR equivalent work experience
- Practical software development experience, with 5+ years working with modern cloud-native and AI-native systems
- 3+ years of hands-on experience with LLM prompt engineering, agent design, and retrieval systems (RAG, semantic search, knowledge bases)
- 3+ years of demonstrated experience integrating third-party AI/ML services and platform APIs (OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, etc.)
- 2+ years of hands-on experience developing applications and extensions on the ServiceNow platform
- Strong proficiency in JavaScript/GlideScript, Python, and Java, familiarity with ServiceNow scripting patterns and APIs
More about this role
This is a Flexible (Hybrid) position based in Santa Clara, CA. Flexible positions require 2 days per week in our Santa Clara office location.
Please Note: This position will include supporting our US Regulated Markets.
“This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered.
As a Staff Software Engineer, you will independently lead the design, development, and delivery of complex, high-impact AI-native and cloud-native systems. The IC4 engineer takes ownership of critical components or features, sets technical direction within their domain, and serves as a technical resource to peers and junior engineers. They combine deep software engineering fundamentals with hands-on expertise in AI/ML integration, cloud architecture, and production systems. This role requires the ability to balance technical depth with organizational impact,...
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