Founding AI Security Systems Engineer

Quantix Search; San Francisco (CA); On-site; USD 160,000 - 300,000; Full time

Job summary

Quantix Search is partnering with an early-stage AI security company building infrastructure to secure and control AI agents inside large enterprises. The platform gives security teams visibility into what agents are doing and can detect and block dangerous behaviour in real time.

You will design and build high-volume, real-time infrastructure, working across distributed systems, security, LLMs, and applied ML to deliver robust solutions.

Qualifications

• 0–5 years of software engineering experience, open to exceptional new grads.
• Strong backend and systems engineering fundamentals.
• Experience shipping production systems.
• Comfortable owning problems end to end in a fast-moving early-stage environment.
• Strong communication skills and comfortable working directly with customers.
• Experience with distributed systems, security, applied ML, quant engineering, or competitive programming is a strong plus.

Responsibilities

• Build high volume, real-time infrastructure ingesting AI agent telemetry across enterprise environments
• Design detection and policy systems to identify and block dangerous agent behaviour
• Work across distributed systems, security, LLMs, and applied ML
• Red-team agents for prompt injection, tool misuse, data exfiltration, and other failure modes
• Work directly with enterprise customers and ship features into production quickly

Skills

Backend engineering

Distributed systems

Security

Applied ML

Communication with customers

Production systems

Competitive programming

Job description

Quantix Search is partnering with an early-stage AI security company building infrastructure to secure and control AI agents inside large enterprises. The platform gives security teams visibility into what agents are doing and can detect and block dangerous behaviour in real time.

You will design and build high-volume, real-time infrastructure, working across distributed systems, security, LLMs, and applied ML to deliver robust solutions.