Staff AI Engineer, Developer Relations Engineering

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.

In this role, you will lead technical content creation, community engagement, and developer outreach across AI infrastructure and managed services workloads. You will produce documentation, tutorials, white papers, sample applications, and video guides.

You will partner with the Product, Engineering, Research, and GTM/Solutions Engineering teams and work across the open-source agent ecosystem.

You will spend most of your time building and then sharing what you build.

What You'll Be Working On:

• 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 use, MCP, multi-agent orchestration, RAG, structured outputs, memory, and evals.
• 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 the ecosystem changes.
• Open Source & GitHub: Own Crusoe's developer-facing GitHub presence, including examples, cookbooks, and integrations. Contribute upstream to agent frameworks, inference engines, and developer tooling (for example LangGraph, LlamaIndex, CrewAI, Pydantic AI, the OpenAI Agents SDK, MCP, vLLM, and SGLang) so they work well with Crusoe.
• 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 technical voice in the agent and open-source community.
• Use-Case Blueprints: Partner with GTM/Solutions Engineering to spot recurring customer patterns and turn them into open reference architectures for developer segments such as Physical AI, robotics, simulation, and other industry verticals.
• Product & Research Partnership: Join Product, Engineering, and Research workflows. Test features and models before launch, make sure samples and docs are ready on launch day, and bring developer friction back as concrete product input, following each issue until it is fixed or explicitly deprioritized.
• Talks & Workshops: Give technical talks, live demos, and hands-on labs at conferences, meetups, hackathons, and workshops.

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