Full Stack Engineer

Aegis AI Security

New York (NY)

On-site

USD 140,000 - 210,000

Full time

11 hours ago
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Job summary

Aegis AI is seeking engineers to join a team of ex-Google engineers building a defensive AI infrastructure. You will architect systems that detect threats in real-time, scale data pipelines ingesting billions of events, and orchestrate a constellation of AI agents across GPU clusters.

You will work across backend Python/Go and frontend React/TypeScript, contributing to high-signal dashboards and live threat intelligence in a fast-paced, experiment-driven environment.

Qualifications

  • 2–10 years of professional software engineering experience.
  • Full-stack capability: backend using Python/Go and frontend with React/TypeScript.
  • AI/ML infrastructure experience: MLOps, scaling AI workloads or data pipelines at internet scale.
  • Mindset: thrive in relentless environments and ship high-quality code fast.

Responsibilities

  • Architect the Human AI Interface to run analytics and investigations.
  • Scale the Data Engine to ingest massive data streams and monitor events in real-time.
  • Orchestrate AI Agents to manage distributed workers for performance and cost balance.
  • Bridge the Stack from high-performance backends to intuitive dashboards.
  • Operationalize Intelligence by managing GPU workloads and real-time learning from live data.

Skills

Full-Stack Development
Python
Go
React/TypeScript
MLOps
Data pipelines
Distributed systems

Tools

Kubernetes

Job description

We are a team of ex-Google engineers who built the defensive infrastructure that guards the modern web—Safe Browsing (5B+ users) and reCAPTCHA (5M+ sites). Now, we are striking out on our own to solve the next existential threat: Adversarial AI.

The $5B+ security market is at a breaking point. Old-school, rules-based systems are defenseless against AI-powered attacks that evolve in real-time.

At Aegis AI, we aren't just \"using AI\"—we are building a distributed network of high-precision AI Agents designed to outpace and outthink attackers.

Your Mission: Architect the Fight
  • Build the Human AI Interface: Create engaging interfaces for users to run analytics, drive deep with investigations and understand the threats facing their business.
  • Scale the Data Engine: Architect the infrastructure to ingest massive data streams from partners, scan the internet for emerging threats, and monitor billions of events in real-time.
  • Orchestrate AI Agents: Design the systems that manage a constellation of distributed agents—balancing performance, cost, and high-precision detection.
  • Bridge the Stack: Build everything from the high-performance backend pipelines that fine-tune models with fresh threat data to the intuitive, high-signal dashboards our customers rely on.
  • Operationalize Intelligence: Manage GPU workloads across dynamic clusters and implement real-time feedback loops that allow our models to learn \"in the wild\" from live adversarial payloads.
Why This is the Ultimate Engineering Challenge
  • Zero Playbook: We are creating new detection paradigms as the threats evolve. If you like \"solved problems\", this isn't for you.
  • The Ultimate Arms Race: Our adversaries are smart and get better every day. We move in days and weeks, not quarters.
  • Elite Peer Group: Our team consists of top 1% engineers. We maintain a flat, high-intensity culture where the best idea—and the fastest execution—always wins.
What We’re Looking For
  • Experience: 2–10 years of professional software engineering experience.
  • Full-Stack Capability: Comfort moving between complex backend infrastructure (Python and Go) and sleek, functional frontends (React/TypeScript).
  • AI/ML Infrastructure: Experience with MLOps, scaling AI workloads, or managing data pipelines at internet scale.
  • Mindset: You thrive in relentless environments. You care about \"complete thinking\" and shipping high-quality code fast.
Bonus Points For
  • Background in Security, Trust & Safety, or Fraud detection.
  • Experience working in adversarial environments or \"Red Teaming.\"
  • Experience orchestrating distributed systems or Kubernetes-based GPU clusters.
Our Culture
  • High Agency: You own your tech stack and your decisions.
  • Flat & Fast: Zero politics. Direct communication. Development cycles measured in days.
  • Impact-Driven: Clear KPIs for success, with the freedom to determine how you reach them.
Ready to build the future of AI defense?

If you’re hungry to work with a team that moves at the speed of the real world, we want to hear from you.

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Experience security/detection systems
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