LLMOps / MLOps Specialist

Location: New York, NY or San Francisco, CA (Hybrid / On-site)

Employment Type: W-2 Contract or Full-Time (Must be authorized to work on W-2 in the US without sponsorship)

Experience: 3+ Years

Job Summary

Our client is looking for an LLMOps / MLOps Specialist to automate and govern the lifecycle of enterprise generative AI applications. You will bridge the gap between machine learning research and reliable production deployment.

Key Responsibilities

• Build and maintain end-to-end CI/CD pipelines for machine learning and LLM applications.
• Implement robust model evaluation, monitoring, and observability frameworks (MLflow, LangChain, Arize).
• Manage vector databases and retrieval-augmented generation (RAG) pipelines at scale.
• Ensure data privacy, model safety, and compliance standards are enforced across all deployments.

Requirements

• Minimum 3 years of experience in MLOps, ML engineering, or backend systems focused on AI workflows.
• Hands-on experience with vector databases (Pinecone, Milvus, Qdrant) and orchestration frameworks (LangChain, LlamaIndex).
• Solid software engineering background in Python and containerized environments.
• Valid W-2 work authorization in the United States (no C2C or cross-border arrangements).
  
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