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ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
6d
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Staff Engineer - Agentic AI
Phoenix, Arizona, United States
RemoteFull Time
7+ YOE7+ years building and scaling enterprise software with recent hands-on GenAI/LLM experience; deep knowledge of transformer models, prompt/context engineering, RAG, agentic patterns, cloud deployment, observability, and AI safety/governance.
LangChain, LangGraph, Semantic Kernel, LangSmith, LangFuse, AWS Bedrock, GCP AI, kore.ai, Git, pgvector, Elastic Search, Splunk, CloudWatch, MCP, A2A
2mo
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Senior ML Operations Engineer
San Francisco or Chicago or Scottsdale or New York
$118k-$203k/yr HybridFull Time
5+ YOEBachelor's in CS/Engineering; 5+ years in Data Science/ML/Ops; Python; AWS; Docker/Kubernetes; MLflow/Kubeflow; real-time model deployment; strong data/compute systems knowledge.
Python, AWS, Docker, Kubernetes, MLflow, Kubeflow
1mo
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Director, Platform Engineering
Tempe, Arizona, United States
$160k-$270k/yr OnsiteFull Time
Lead platform engineering teams to take AI-enabled internal tools from concept to production; strong Python, CI/CD, model deployment, GPU/compute, cloud (AWS/GCP), LLMs (e.g., Claude), security and production-readiness experience.
Python, Claude, NVIDIA Holoscan, AWS, Google Cloud, CI/CD, LLMs, GPU, DevOps, MLOps