Staff AI Engineer, Developer Relations Engineering

Job summary

Responsibilities

Crusoe is hiring an AI Engineer for our Developer Relations Engineering team: an engineer who builds agentic AI systems and enjoys showing other developers how they work. You will build reference agents, open-source integrations, and sample applications on Crusoe Cloud and Crusoe Managed Inference.

• Agentic Reference Systems: Architect and ship end-to-end reference agents and starter kits on Crusoe that developers can use as a starting point for production, covering tool…
• Examples & Documentation: Own the code examples, tutorials, and documentation that help developers go from first API call to working agent, and keep them tested and up to date as…
• Open Source & GitHub: Own Crusoe's developer-facing GitHub presence, including examples, cookbooks, and integrations.
• Technical Content & Video: Turn the systems you build into content developers rely on: deep-dive blog posts, notebooks, YouTube videos, livestreams, and short technical clips.
• Building in Public: Share your work on X, LinkedIn, YouTube, Discord, Reddit, Hacker News, etc. Answer technical questions, review community projects, and become a trusted…

What they're looking for

• Engineering Experience: 5+ years as a software engineer, ML engineer, applied AI engineer, forward-deployed engineer, or in a similar hands-on engineering role, with strong…
• Engineering Credibility: Ability to earn credibility with both AI infrastructure engineers and ML/AI engineers.
• Agentic AI: Hands-on experience building LLM applications and agents with tool calling, MCP, retrieval, memory, and evaluation, using one or more frameworks such as LangGraph…
• Cloud Infrastructure: Experience working with cloud computing platforms (such as AWS, GCP, or Azure) or managed AI solutions, with a foundational understanding of cloud…
• Inference & Model Serving: Working knowledge of how models are served, including OpenAI-compatible APIs, open-weight models, and serving engines such as vLLM or SGLang.

Tech stack

• RAG
• LangGraph
• LlamaIndex
• vLLM
• Python
• AWS
• GCP
• Azure