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terraform python kubernetes go llamaindex📋 Description
- Embedded with AI-native customers to manage migrations and PoCs on GPU infra
- Build production-ready assets, tooling, and automation for AI workloads
- Speed time-to-inference by scaling AI workloads in production
- Lead field-enabled tools to inform product roadmap and deployment
- Validate early AI frameworks for a top developer experience
- Partner with Strategic/Technical teams to enable repeatable deployments
🎯 Requirements
- AI/ML architecture for hosting large models with inference engines (vLLM, SGLang)
- Distributed systems mastery; GPUs, CUDA/ROCm, Kubernetes, and IaC
- Hands-on with distributed inference (llm-d, Ray Serve) and GPU optimization (NVLink, RoCE)
- Production-grade Python or Go for tools and automation
- Data-driven benchmarking and GPU utilization tuning for ROI
- Consultative execution with CTOs and lead architects during migrations
- Experience with LangGraph, CrewAI, or LlamaIndex
🎁 Benefits
- Career development resources and learning opportunities
- Flexible time off and comprehensive benefits
- Equity grants and future stock purchase options
- Remote-friendly culture with global onboarding
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