Radiant Security
Staff AI Engineer
United States · Staff+
Sponsorship not specifiedDetected 78 days ago
Machine LearningData EngineeringLLMsRAGAgentic AILLMOpsMLOpsAI OrchestrationCybersecuritySIEMDetection EngineeringProduct ManagementResearchLeadershipCommunicationMentoringPublic Speaking
About the role
- This role is for engineers who think in systems.
Responsibilities
- Architecture & System Design
- Own the end-to-end architecture of agentic pipelines: how agents are structured, how data flows between them, how pipelines are composed and versioned, and how the system scales under operational demand.
- Drive decisions on LLM selection, tool use, retrieval-augmented generation, and memory/state management at the system level.
- Lead multi-engineer projects from technical scoping through delivery, coordinating across engineering, product, and security domain experts.
- Mentor AI Engineers on prompt optimization strategies, experimental rigor, and pipeline design patterns.
- Conduct design reviews and provide actionable, constructive technical feedback.
- assess emerging models, frameworks, and techniques for applicability to the team's roadmap. Partner with cybersecurity leadership to translate domain needs into technical requirements and influence the product roadmap.
Requirements
- 8+ years of experience building and deploying production services end-to-end.
- Extensive experience designing and shipping production AI/ML systems at scale.
- Track record of raising the engineering bar on a team through mentorship, standards, and tooling.
Nice to have
- Domain experience in cybersecurity, threat detection, or security operations.
- Experience with large-scale data pipelines and MLOps/LLMOps infrastructure.
- Background in founding or significantly growing an AI engineering function.
- Published work, open-source contributions, or conference presentations in the AI/ML space.
- We're a startup and we make decisions quickly.
Skills
- About Radiant Security
- Join us and boost your career with hands-on AI experience.
- The frontier of applied AI isn't in research labs - it's in production systems solving hard problems under real constraints.
- The best technology decisions in this space haven't been made yet.
Company info
- Things we're looking for
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This listing is sourced directly from Radiant Security's careers page and normalized into a canonical job model.