KnowBe4
Staff Software Engineer - AI Engineering (Remote)
KnowBe4, Myrtle Point, Oregon, United States, 97458
Overview
Employer Industry: Cybersecurity
Why consider this job opportunity:
Base pay ranging from $170,000 - $200,000, depending on skills and experience
Company-wide bonuses based on monthly sales targets and employee referrals
Opportunities for continuous learning, including budgets for certifications and conferences
Collaborative culture with small, high-ownership teams that emphasize transparency and trust
Relaxed dress code in a modern, high-tech, and fun work environment
Work remotely within the U.S. and make a global impact by protecting over 70,000 organizations
Job Responsibilities
Define and evolve the technical vision for AI and agentic systems across products
Design orchestration, data, and serving patterns that ensure global reliability and scalability
Collaborate with AI Research to transform prototypes into extensible production frameworks
Mentor engineers, lead design reviews, and guide cross-team engineering initiatives
Establish best practices for observability, testing, and secure, explainable AI systems
Required Qualifications
9+ years of experience designing and operating large-scale, distributed, or AI-driven systems
Proven technical leadership in defining architecture and design patterns across multiple teams
Expertise in Python and backend/API frameworks such as FastAPI or Flask
Deep understanding of cloud-native architecture (AWS preferred) and distributed scalability
Experience building or integrating AI/ML platform features such as model serving or MLOps frameworks
Preferred Qualifications
Experience designing agentic or retrieval‑based architectures at scale
Strong experience in observability, reliability, and incident response
EEO Statement We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
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Why consider this job opportunity:
Base pay ranging from $170,000 - $200,000, depending on skills and experience
Company-wide bonuses based on monthly sales targets and employee referrals
Opportunities for continuous learning, including budgets for certifications and conferences
Collaborative culture with small, high-ownership teams that emphasize transparency and trust
Relaxed dress code in a modern, high-tech, and fun work environment
Work remotely within the U.S. and make a global impact by protecting over 70,000 organizations
Job Responsibilities
Define and evolve the technical vision for AI and agentic systems across products
Design orchestration, data, and serving patterns that ensure global reliability and scalability
Collaborate with AI Research to transform prototypes into extensible production frameworks
Mentor engineers, lead design reviews, and guide cross-team engineering initiatives
Establish best practices for observability, testing, and secure, explainable AI systems
Required Qualifications
9+ years of experience designing and operating large-scale, distributed, or AI-driven systems
Proven technical leadership in defining architecture and design patterns across multiple teams
Expertise in Python and backend/API frameworks such as FastAPI or Flask
Deep understanding of cloud-native architecture (AWS preferred) and distributed scalability
Experience building or integrating AI/ML platform features such as model serving or MLOps frameworks
Preferred Qualifications
Experience designing agentic or retrieval‑based architectures at scale
Strong experience in observability, reliability, and incident response
EEO Statement We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
#J-18808-Ljbffr