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:

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

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• Implement version control for code, data, and models using GitLab, SonarQube, Jenkins, Artifactory
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• Automate testing frameworks using AI capabilities, including model validation tests
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• Design blue/green deployment strategies using AI capabilities
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• Automated build, scans and deploy including vulnerability remediation capabilities
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