🛠 Tech Stack

💼 About This Role

You'll act as the technical tip of the spear for strategic AI-native customers, embedding directly with them to drive transformative AI adoption on DigitalOcean's GPU infrastructure. You'll build scalable tools, migration scripts, and AI starter kits that accelerate time-to-inference at scale.

🎯 What You'll Do

• Embed with strategic customers to manage complex migrations and build production-ready PoCs
• Create reusable tools like migration planners, benchmarking frameworks, and deployment scripts
• Develop AI starter kits using LangGraph, CrewAI, and notebooks for common business needs
• Act as frontline technical voice to inform product roadmap from field insights

📋 Requirements

• AI/ML architecture expertise with inference engines like vLLM, SGLang, or Modular
• Distributed systems mastery including Kubernetes, microservices, and Infrastructure as Code
• GPU optimization experience with CUDA, ROCm, TensorRT, and interconnect technologies
• Production coding in Python or Go building high-quality tools and automation

✨ Nice to Have

• Experience with LangGraph, CrewAI, or LlamaIndex
• Background in technical consulting or Forward Deployed roles
• Active contributor to open-source AI projects

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Comprehensive health insurance
• 📈 Equity options
• 📚 Learning stipend
• 💻 Remote-first culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Hiring Manager Interview· 45 min
3. 3Technical Interview· 60 min