AI Platform & Security Engineer (AI)

Location: San Jose, California, United States

Salary: $187,000–$298,600 USD for the Bay Area, California; incentive opportunities may also be available.

Company

hirify.global develops next-generation AI platforms, intelligent applications, cloud-native services, and secure enterprise AI solutions.

What you will do

• Design, develop, and deploy generative AI, LLM, RAG, and agentic AI solutions for complex business and engineering challenges.
• Build and maintain AI platforms, model-serving infrastructure, evaluation frameworks, intelligent copilots, AI agents, orchestration frameworks, and application services across cloud and hybrid environments.
• Implement AI security controls covering model protection, prompt-injection defense, data protection, access control, secrets management, and secure deployment patterns.
• Establish AI governance, responsible AI, monitoring, auditability, compliance, risk-management, observability, and guardrail frameworks.
• Perform threat modeling, security assessments, vulnerability analysis, remediation, and compliance activities across AI applications and cloud infrastructure.
• Develop CI/CD pipelines, infrastructure automation, and DevSecOps practices while collaborating with product, engineering, data science, and security teams.

Requirements

• Bachelor’s or Master’s degree in computer science, artificial intelligence, cybersecurity, software engineering, or a related field.
• 5+ years of experience building generative AI, LLM, RAG, agentic AI, or machine-learning applications in production environments.
• Strong programming skills in Python and modern software development frameworks.
• Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, AutoGen, or similar technologies.
• Familiarity with Azure, AWS, or Google Cloud.
• Experience with containers, Kubernetes, Infrastructure as Code, and cloud-native architectures.
• Knowledge of AI security, application security, cloud security, Zero Trust, IAM, vulnerability management, and DevSecOps.
• Experience with model evaluation, AI observability, governance, and responsible AI frameworks.
• Strong problem-solving, communication, and cross-functional collaboration skills.

Culture & Benefits

• Regular full-time employment.
• Incentive opportunities based on individual and company performance.
• Work focused on secure, scalable, production-ready AI platforms and applications.
• Collaboration across product, engineering, data science, and security functions.

Hiring process

• Artificial intelligence may be used to screen, assess, or select applicants.
• Applicants must be eligible for any required U.S. export authorizations.