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