AI DevOps/ AI/ML Engineer needs 7+ years of experience in DevSecOps, Site Reliability Engineering, AI DevOps/ AI/ML Engineer requires: • LLM ( Claude/ OpenAI) with focus on reasoning/agentic use cases • Agentic AI framework LangChain, LangGraph, CrewAI • Context Engineering • MCP • Vector databases • RAG • Python language proficiency is must. • Deep understanding of cloud engineering as related AI, DevOps, Automation • Strong troubleshooting and problem-solving abilities • Excellent communication skills to work with both data scientists and operations teams • Familiarity with agile development methodologies • Knowledge of security best practices for AI systems • Ability to balance technical requirements with business needs • Iselin, NJ, Charlotte, NC • Hands on knowledge of AI tools, Models, practical use case implementation • Proficiency in at least one programming language commonly used in AI (Python, Java) • Hands-on experience with cloud platforms (AWS, Azure, GCP) • Understanding of ML frameworks (TensorFlow, PyTorch, scikit-learn) • Experience with CI/CD tools (Jenkins, GitHub, GitLab CI, Artifactory) • Hands on experience with automated security vulnerability detection and remediation using security scanning tools in DAST/SAST/IAST scanning space • Hands on experience building and deploying Agentic capabilities using AI Agentic tools, processes across the technology and business landscape • Bachelor's degree in Computer Science, Engineering, or related field • Hybrid AI DevOps/ AI/ML Engineer duties: • Implement version control for code, data, and models using GitLab, SonarQube, Jenkins, Artifactory • Automate testing frameworks using AI capabilities, including model validation tests • Design blue/green deployment strategies using AI capabilities • Automated build, scans and deploy including vulnerability remediation capabilities