Senior Staff Machine Learning Engineer, GenAI Platform
Tasks
- Build intelligent failover mechanisms
- Define GenAI platform architecture and operating model
- Define agentic AI workflows and tool use patterns
- Define observability monitoring governance best practices
- Design LLM gateway unified API endpoints
- Develop model serving inference pipelines monitoring and observability
- Drive MLOps and LLMOps standards with CI CD testing evaluation versioning lifecycle management
- Establish enterprise grade RAG system approach
- Implement rate token limit management
- Lead GenAI platform vision strategy roadmap
- Own end to end platform strategy through production adoption
Perks/Benefits
- 401k employer match
- Caregiving support
- Family planning support
- Flexible vacation
- Gender-affirming care
- Global benefits
- Healthcare benefits
- Income replacement programs
- Mental health & coaching benefits
- Paid parental leave
- Paid volunteer time off
- Professional development
- Workspace support
Skills/Tech-stack
AWS | Agentic AI | CI/CD | Cloud Storage | Generative AI | Go | Google Cloud | Google Cloud Storage | Governance | Inference | Infrastructure as Code | Kubernetes | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Serving | Monitoring | Observability | Orchestration | Python | RAG | Retrieval-Augmented Generation | Terraform | Testing | Version control | “as-code”
Education
N/A
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