Product Security Engineer

Design and build AI-native security capabilities that embed directly into the software lifecycle, enabling autonomous risk discovery, intelligent remediation, and secure deployment at the speed of innovation. This role sits at the intersection of application security, machine learning, and developer productivity, leading the evolution of a security platform that scales across applications, infrastructure, and AI workloads.

About micro1: micro1 is an AI data lab that turns domain expertise from finance, healthcare, STEM engineering, and other fields into high quality training data, evaluations, and feedback loops for frontier AI models. The platform vets experts and enables large scale expert contributions to improve how AI systems learn and perform.

• Architect and build AI-powered security systems that autonomously identify, triage, and remediate vulnerabilities across applications, infrastructure, and AI workloads.
• Develop agentic security workflows that use LLMs and machine learning for code review, threat detection, vulnerability correlation, root cause analysis, and automated fix generation.
• Embed intelligent security controls, AI guardrails, and continuous validation into CI/CD pipelines to modernize the Secure Software Development Lifecycle, enabling continuous risk discovery and secure deployment.
• Lead threat modeling for distributed systems, AI platforms, retrieval augmented generation architectures, model-serving infrastructure, data pipelines, and autonomous agents.
• Design security frameworks to protect AI systems from prompt injection, model abuse, data poisoning, adversarial attacks, and sensitive data leakage.
• Build behavioral detection models and risk engines to detect synthetic identities, document fraud, account takeover attempts, and adversarial activity in customer onboarding and KYC workflows.
• Apply machine learning and contextual risk scoring to reduce alert fatigue, prioritize security findings, and drive autonomous remediation decisions.
• Partner with engineering, platform, and AI research teams so security is a native capability rather than a downstream function.
• Scale security engineering practices through mentorship, technical leadership, and enablement programs focused on secure AI development.

• Demonstrated experience building or applying AI and LLM powered security solutions, including agentic workflows, autonomous remediation systems, vulnerability discovery, or security copilots.
• Deep expertise in Application Security, Product Security, or Security Engineering, with a strong software development background.
• Hands-on experience integrating enterprise security tooling into automated developer workflows and AI-driven orchestration platforms. Examples: Snyk, Checkmarx, GitHub Advanced Security, Semgrep, Wiz, Lacework.
• Strong understanding of modern security architecture, cloud-native systems, APIs, microservices, and distributed computing environments.
• Deep familiarity with OWASP Top 10, OWASP Top 10 for LLM Applications, secure AI development practices, and emerging AI threat models.
• Advanced programming skills in Python, plus proficiency in at least one additional language such as Go, Java, Rust, or Node.js.
• 8+ years of professional experience in relevant roles.
• Core skills expected: AI and Security, Application Security, Security Tooling, LLM Security, and strong programming proficiency.

• Employment type: Full-time.
• Location: Remote.
• Position is on the core product security team, with a full-time commitment to designing and operating AI-native security systems.

• Salary range: 250000 - 400000 yearly, corresponding to 250K to 400K per year as stated in the source.

The source did not include explicit application instructions. Please apply using the original job posting or the application link provided where you found this listing. Applicants should be prepared to demonstrate experience in security engineering, LLM and AI security, and software development during the interview process.