AI LLMOps Engineering Technical Leader
San Jose, California, United States of America
USD 216K-280K Senior-level Full Time
Tasks
- Build ML pipelines
- Define MLOps practices
- Design model serving architectures
- Drive architectural decisions
- Ensure model security and performance
- Implement telemetry monitoring
- Manage containerized models on GPU clusters
- Mentor peers
- Monitor agent reasoning paths
- Operationalize agentic AI architectures
- Resolve infrastructure and inference issues
- Track token usage and compute costs
Perks/Benefits
- 401k match
- Flexible vacation program
- Life insurance
- Long-term disability
- Medical, dental, and vision insurance
- Paid Holidays
- Paid parental leave
- Paid sick time
- Paid vacation time
- Short-term disability
Skills/Tech-stack
API Gateway | Anthropic | Apache APISIX | CI/CD | ClearML | Docker | FastAPI | Flask | Java | Java/J2EE | Kubernetes | Langchain | Langsmith | Litellm | Llama | MLflow | OpenAI | Python | Spring Boot | Threat modeling | Weights and Biases
Education
Regions
Countries
States
Cities
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