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