Staff Software Engineer - AI Engineering (Remote)

Posted 3 months agoViewed
170000 - 200000 USD per year
USFull-TimeCybersecurity
Company:KnowBe4
Location:US
Languages:English
Seniority level:Staff, 9+ years
Experience:9+ years
Skills:
AWSBackend DevelopmentLeadershipPythonArtificial IntelligenceCloud ComputingDesign PatternsMachine LearningSoftware ArchitectureFastAPICI/CDTerraformMicroservicesMentoringSoftware Engineering
Requirements:
9+ years of experience designing and operating large-scale, distributed, or AI-driven systems. Proven technical leadership defining architecture and design patterns across multiple teams or domains. Expertise in Python and backend/API frameworks such as FastAPI or Flask. Deep understanding of cloud-native architecture (AWS preferred), event-driven systems, and distributed scalability, leveraging CI/CD and infrastructure-as-code (GitLab and Terraform). Experience building or integrating AI/ML platform features - model serving, orchestration, vector search, or MLOps frameworks. A habit of turning new discoveries into reusable knowledge for the team. Experience designing agentic or retrieval-based architectures at scale (bonus). Strong experience in observability, reliability, and incident response (bonus).
Responsibilities:
Define and evolve the technical vision for AI and agentic systems across products. Design orchestration, data, and serving patterns that handle global scale with reliability. Collaborate with AI Research to turn prototypes into extensible, governed production frameworks. Mentor engineers, lead design reviews, and guide cross-team engineering initiatives. Establish best practices for observability, testing, and secure, explainable AI systems. Align teams around shared architectural principles and long-term technical goals. Partner closely with Product Management to align engineering designs with product requirements. Drive innovation responsibly, delivering systems that stay measurable, maintainable, and safe. Stay deeply engaged with the cybersecurity landscape, understanding emerging threats, evolving compliance requirements, and industry standards.
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