Note: The job is a remote job and is open to candidates in USA. YO IT Consulting is seeking a Product Security Engineer to help define the future of AI-native security engineering. In this role, you will design autonomous security systems that integrate AI-driven controls into the software lifecycle, enabling continuous risk discovery and secure deployment.
Responsibilities
- 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 leverage LLMs and machine learning for code review, threat detection, vulnerability correlation, root-cause analysis, and automated fix generation
- Reimagine the Secure Software Development Lifecycle (SSDLC) by integrating intelligent security controls, AI guardrails, and continuous validation into CI/CD pipelines
- Lead threat modeling initiatives for distributed systems, AI platforms, RAG architectures, model-serving infrastructure, data pipelines, and autonomous agents
- Design security frameworks for protecting AI systems against emerging threats including prompt injection, model abuse, data poisoning, adversarial attacks, and sensitive data leakage
- Build behavioral detection models and risk engines to identify synthetic identities, document fraud, account takeover attempts, and other adversarial activity within 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 closely with engineering, platform, and AI research teams to ensure security is embedded as a native capability rather than a downstream function
- Scale a culture of security engineering through mentorship, technical leadership, and enablement programs focused on secure AI development practices
Skills
- Demonstrated experience building or applying AI/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 (e.g., Snyk, Checkmarx, GitHub Advanced Security, Semgrep, Wiz, Lacework) into automated developer workflows and AI-driven orchestration platforms
- 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 and at least one additional language such as Go, Java, Rust, or Node.js
- 8+ years of experience spanning Application Security, Software Engineering, Infrastructure Security, or related technical domains
- Proven track record driving large-scale automation initiatives and transforming security programs from reactive operations to autonomous, intelligence-driven systems
- Exceptional communication skills with the ability to translate complex technical and AI-related risks into strategic business decisions
- Experience securing AI products, foundation model platforms, inference infrastructure, or agentic systems in production environments
- Background in applied machine learning, security data science, fraud detection, or behavioral analytics
- Contributions to open-source security tools, AI security research, or industry thought leadership
- Experience operating within high-growth technology companies, AI labs, or research-driven engineering organizations
- Familiarity with emerging areas such as AI red teaming, model evaluation, agent security, autonomous penetration testing, or AI safety engineering
Company Overview