Enterprise AI Security Researcher for Agents

CodeIntegrity; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive package

Paid time off

Professional development

Top-tier equipment

Customer access

Job summary

CodeIntegrity is building the platform security layer to control MCPs and agents across enterprises. We are a small team of engineers shipping fast, backed by notable investors, focused on making enterprise AI safe to use.

We seek a security-focused researcher who can read code, prototype, and analyze how AI agents fail in real systems, delivering concrete examples and actionable guidance for engineers and product teams.

Qualifications

• Understand application security, AI systems, or both.
• Able to read code, build small prototypes, and test how systems fail.
• Capable of explaining technical risks in plain language.
• Turn ambiguous ideas into concrete examples.

Responsibilities

• Investigate how AI agents fail in real systems and convert findings into security research.
• Research agent security risks across tools, data access, identity, and MCP workflows.
• Reproduce real failure modes such as prompt injection and data exposure.
• Build test apps and demos to make risks concrete.
• Write clear technical analyses for engineers and security teams.
• Create reproducible examples to help the team understand agent failures.
• Translate findings into practical guidance and product recommendations.

Skills

Agent security research

Security testing

Code reading & prototyping

Clear technical communication

Job description

CodeIntegrity is building the platform security layer to control MCPs and agents across enterprises. We are a small team of engineers shipping fast, backed by notable investors, focused on making enterprise AI safe to use.

We seek a security-focused researcher who can read code, prototype, and analyze how AI agents fail in real systems, delivering concrete examples and actionable guidance for engineers and product teams.