Full Stack Engineer

AegisAI Security; United States; On-site; USD 110,000 - 170,000; Full time

Job summary

AegisAI Security seeks a Full Stack Engineer to build user analytics interfaces, scale data infrastructure, and orchestrate AI agents. This role supports remote work or onsite presence in New York City or San Francisco, combining rapid development with secure, scalable systems.

You will own end-to-end features, collaborate across teams, and push real-time detection capabilities in a demanding security environment.

Qualifications

• 2-10 years of professional software engineering experience.
• Full-stack capability with backend experience in Python and Go, and frontend in React/TypeScript.
• Experience with MLOps and managing data pipelines at internet scale.
• A mindset suited for high-intensity environments and rapid development cycles.
• Bonus points for background in security, adversarial environments, or distributed systems

Responsibilities

• Build engaging interfaces for user analytics and threat investigations
• Architect infrastructure to ingest massive data streams and monitor real-time events
• Design systems to manage distributed AI agents for high-precision detection

Tools

Python

Go

React/TypeScript

MLOps

Data pipelines

Job description

Building the foundational systems for AI defense, the full-time Full Stack Engineer will create user interfaces, scale data infrastructure, and orchestrate AI agents, working remotely or onsite in New York City or San Francisco.

Key responsibilities

• Build engaging interfaces for user analytics and threat investigations
• Architect infrastructure to ingest massive data streams and monitor real-time events
• Design systems to manage distributed AI agents for high-precision detection

Required qualifications

• 2-10 years of professional software engineering experience
• Full-stack capability with backend experience in Python and Go, and frontend in React/TypeScript
• Experience with MLOps and managing data pipelines at internet scale
• A mindset suited for high-intensity environments and rapid development cycles
• Bonus points for background in security, adversarial environments, or distributed systems