Infrastructure Engineer

Aegis AI Security

. Architect infrastructure for a constellation of AI agents that detect and stop emerging threats .

Posted 9/23/2026full-timeSan Francisco • California • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and scaling AI infrastructure, with a focus on real-time threat detection and data processing. Proficient in building and operating systems that leverage AI for cybersecurity applications.

Highest-signal resume keywords

AI Infrastructure ScalingMLOps ExperienceReal-Time Data ProcessingGPU Workload OrchestrationAdversarial Threat Detection

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ArchitectureData Stream IngestionModel Fine-TuningBehavioral Pattern ExtractionReal-Time Feedback Loops

Soft Skills

AdaptabilitySpeed of Learning

Industry Keywords

CybersecurityThreat DetectionAdversarial EnvironmentsTrust and SafetyFraud Prevention

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Architect infrastructure for a constellation of AI agents that detect and stop emerging threats
Build and scale infrastructure ingesting rich data streams from partners
Continuously scan the internet for new threats
Monitor billions of customer events in real time to extract behavioral patterns
Design and operate AI infrastructure powering distributed intelligent agents
Build pipelines to fine-tune models with fresh threat data
Orchestrate GPU workloads across dynamic clusters
Implement real-time feedback loops that continuously evolve from live data
Build the foundational system for AI-powered adversarial threat detection from the ground up

Requirements

What you’ll need

2–10 years of experience
Experience scaling AI infrastructure or MLOps
Experience building in fast-paced environments
Adaptability and speed of learning
Ability to work at the edge of AI and cybersecurity
Bonus: experience with security or detection systems
Bonus: experience working in adversarial environments such as trust and safety, security, or fraud
A portfolio, GitHub, or work samples link is requested
Visa sponsorship requirements must be disclosed in the application

Benefits

Comp & perks

Flat, flexible, and fast culture
Clear KPIs for success with autonomy over how goals are achieved
Ownership of decisions and technology stack
Fast development cycles measured in days
Opportunity to work with experienced AI and cybersecurity founders
High-impact work building AI systems to combat adversarial AI
Remote work listed as a secondary location option