Senior Security Engineer, AI Security
Role Description
Reddit is hiring a Senior Security Engineer, AI Security to help teams build and ship AI-powered products securely. This role combines product security judgment with hands-on engineering to secure the systems, tools, and workflows behind Reddit's AI efforts.
- Review AI-powered product designs, threat model LLM and agentic workflows.
- Build reusable security primitives that make secure AI development easier for teams across Reddit.
- Design security tooling to detect and prevent prompt injection, jailbreaks, tool misuse, data leakage, unsafe code generation, and suspicious agent behavior.
- Partner with teams building products and platforms with AI to define practical security controls.
- Proactively find, fix, and prevent AI security issues.
- Turn one-off AI security issues into systemic fixes and reusable guidance.
Qualifications
- 5+ years of experience in product security, application security, software security, security engineering, backend engineering, or security platform engineering.
- Strong application security fundamentals, including secure design review, threat modeling, code review, vulnerability prioritization, and practical remediation.
- Experience in building reliable backend services.
- Hands-on experience building security automation, developer tooling, libraries, infrastructure, or platform controls.
- Familiarity with AI, LLM, or agentic system risks.
- Ability to reason across trust boundaries.
- Practical understanding of infrastructure security concepts.
- Strong engineering judgment about when to block launch and how to sequence practical remediations.
- Clear communication skills with the ability to explain technical security risk and business impact.
Requirements
- Experience securing AI/LLM products, AI-assisted development tooling, agent frameworks, or model-integrated workflows.
- Experience building guardrails, policy engines, secure frameworks, scanners, or other developer-facing security platforms.
- Familiarity with agent sandboxing, workload identity, network policy, or AI red teaming.
- Experience scanning or governing AI agent components.
- Familiarity with machine learning systems, model evaluation, or data governance for AI products.
- Experience with Go, Python, JavaScript, or TypeScript.
- Experience partnering with privacy, trust and safety, infrastructure, platform, or machine learning teams.
- Hands-on experience securing distributed systems or cloud-native applications.
- Track record of mentoring engineers or raising the security bar through guidance, tooling, or reusable patterns.
Benefits
- Medical, dental, and vision insurance.
- 401(k) program with employer match.
- Generous time off for vacation.
- Parental leave.
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