Full Stack Engineer

AegisAI; United States; Hybrid; USD 140,000 - 200,000; Full time

Job summary

AegisAI is seeking a senior software engineer to build full-stack systems for an AI-driven security platform. You will develop interfaces for analytics and threat investigations, design real-time data pipelines, and orchestrate distributed AI agents while balancing performance and cost.

The role involves updating models with fresh threat data and delivering robust customer dashboards, with ownership in a fast-moving environment.

Qualifications

• 2-10 years of professional software engineering experience.
• Full-stack capability across backend in Python or Go and frontend in React/TypeScript.
• Experience with MLOps, scaling AI workloads, or operating data pipelines at large scale.
• Ability to make sound technical decisions and deliver high-quality software quickly.
• Comfort working in a fast-moving environment with direct ownership.

Responsibilities

• Create interfaces for analytics, threat investigations, and understanding risks to a business.
• Design pipelines that ingest partner data, scan for emerging threats, and process high volumes of events in real time.
• Build orchestration for distributed AI agents, balancing detection precision, performance, and cost.
• Develop backend systems that update models with fresh threat data and connect them to useful customer dashboards.
• Manage GPU workloads across changing clusters and build feedback loops from live threats into model improvement.

Skills

Full-stack development

Python

Go

React

TypeScript

Tools

Kubernetes

Docker

React

TypeScript

Job description

Role overview

Build full-stack systems for an AI-driven security platform that analyzes email threats and helps customers investigate them. The role covers customer-facing analytics and dashboards as well as large-scale data ingestion, distributed AI agents, and infrastructure for models that adapt to new adversarial activity.

Responsibilities

• Create interfaces for analytics, threat investigations, and understanding risks to a business.
• Design pipelines that ingest partner data, scan for emerging threats, and process high volumes of events in real time.
• Build orchestration for distributed AI agents, balancing detection precision, performance, and cost.
• Develop backend systems that update models with fresh threat data and connect them to useful customer dashboards.
• Manage GPU workloads across changing clusters and build feedback loops from live threats into model improvement.

Requirements

• 2-10 years of professional software engineering experience.
• Full-stack capability across backend work in Python or Go and frontend development with React and TypeScript.
• Experience with MLOps, scaling AI workloads, or operating data pipelines at large scale.
• Ability to make sound technical decisions and deliver high-quality software quickly.
• Comfort working in a fast-moving environment with direct ownership.

Nice to have

• Background in security, trust and safety, fraud detection, or red teaming.
• Experience with adversarial systems, distributed computing, or Kubernetes-based GPU clusters.

Benefits and work setup

• Full-time role based in New York City or San Francisco, with in-office or US-based remote work available.
• High ownership, direct communication, and short development cycles, with clear measures of impact.