LLMOps / MLOps Specialist
Summary
An MLOps/LLMOps engineer who builds CI/CD pipelines, model evaluation and observability (MLflow, LangChain, Arize), and manages vector databases and RAG pipelines for enterprise generative AI applications. Hybrid/on-site in New York or San Francisco; requires 3+ years experience and US W-2 authorization without sponsorship.
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).
Sound like a fit?
Apply now and our recruiting team will get back to you.