AI DevOps/ AI/ML Engineer

About the job AI DevOps/ AI/ML Engineer 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

Created: 2026-03-10