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Jobs(30,164)/Security Engineer Role(367)/Reddit (138) - Senior Security Engineer, AI Security
Reddit

Reddit - Senior Security Engineer, AI Security

Remote - USA$191k - $191k+ Equity4w ago
RemoteSeniorNAInsuranceArtificial IntelligenceSecurity EngineerGoPythonJavaScriptTypeScriptEmployee Relations

Requirements

• 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 such as prompt injection, jailbreaks, insecure tool use, tool poisoning, data leakage, unsafe model outputs, and abuse of AI-assisted workflows. • Ability to reason across trust boundaries, including user input, model context, retrieval systems, backend services, tool calls, MCP servers, third-party integrations, sandboxed execution, logs, and frontend rendering. • Practical understanding of infrastructure security concepts such as identity, authorization, network boundaries, secrets, cloud environments, containers, isolation, runtime policy enforcement, and least privilege. • Strong engineering judgment about when to block launch, when to accept risk, and how to sequence practical remediations. • Clear communication skills with the ability to explain technical security risk and business impact to engineers, product managers, and leadership. • Experience securing AI/LLM products, AI-assisted development tooling, agent frameworks, MCP-style tool ecosystems, retrieval-augmented generation systems, or model-integrated workflows. • Experience building guardrails, policy engines, secure frameworks, scanners, linters, CI/CD checks, registries, gateways, or other developer-facing security platforms. • Familiarity with agent sandboxing, workload identity, network policy, tool permissioning, AI red teaming, or LLM evaluation. • Experience scanning or governing AI agent components such as skills, prompts, MCP servers, tool manifests, generated code, dependencies, or model-connected workflows. • Familiarity with machine learning systems, model evaluation, AI data flows, 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, including Kubernetes, APIs, and microservices. • Track record of mentoring engineers or raising the security bar through guidance, tooling, or reusable patterns. • Pay Transparency: • Pay Transparency: • This job posting may span more than one career level. • In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. • To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. • The base salary range for this position is: • $190,800—$267,100 USD • In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. • During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Responsibilities

• Review and threat model AI-powered product features, LLM integrations, agentic workflows, MCP servers, tools, plugins, retrieval systems, model outputs, and internal AI tools before launch. • Build reusable AI security primitives such as guardrails, scanners, policy checks, tool-use controls, registries, sandboxes, libraries, and workflow-native enforcement points. • Design security tooling that can sit in the inference, retrieval, or execution path 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 that fit how they design, build, and ship. • Proactively find, fix, and prevent AI security issues, while making any required product or engineering changes clear and low-friction for partner teams. • Turn one-off AI security issues into systemic fixes, paved paths, measurable controls, and reusable guidance.

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