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Staff AI Engineer

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Staff AI Engineer in USA new

  • Bellevue, WA

Responsibilities

  • Architect and ship end-to-end agentic reference systems and starter kits for Crusoe Cloud and Crusoe Managed Inference.
  • Build, test, and maintain code examples, tutorials, documentation, cookbooks, integrations, and sample applications.
  • Contribute upstream to agent frameworks, inference engines, and developer tooling, and own Crusoe’s developer-facing GitHub presence.
  • Create technical blog posts, notebooks, white papers, YouTube videos, livestreams, technical clips, talks, demos, and hands-on labs.
  • Engage publicly with developers through social platforms and communities, answer technical questions, review community projects, and build trust in the open-source agent ecosystem.
  • Partner with GTM and Solutions Engineering to create reference architectures for Physical AI, robotics, simulation, and other use cases.
  • Collaborate with Product, Engineering, and Research on pre-launch testing, launch readiness, and resolving developer friction.
  • Travel up to 20% of the time.

Requirements

  • 5+ years of experience as a software engineer, ML engineer, applied AI engineer, forward-deployed engineer, or in a similar hands-on engineering role.
  • Strong Python skills and credibility with AI infrastructure and ML/AI engineers.
  • Hands-on experience building LLM applications and agents with tool calling, MCP, retrieval, memory, and evaluation using frameworks such as LangGraph, LlamaIndex, CrewAI, Pydantic AI, or the OpenAI Agents SDK.
  • Experience with cloud computing platforms such as AWS, GCP, or Azure, or with managed AI solutions, plus foundational cloud infrastructure knowledge.
  • Working knowledge of model serving, OpenAI-compatible APIs, open-weight models, and serving engines such as vLLM or SGLang.
  • A public record of technical work through GitHub repositories, open-source contributions, blog posts, videos, talks, or an active technical social-media presence.
  • Strong written and verbal technical communication skills, including documentation, white papers, video explainers, and presentation decks.
  • Ability to work cross-functionally, set priorities independently, and ship in a fast-moving environment.
  • Bachelor's, master's, or PhD degree in Computer Science, or equivalent practical experience.
  • Preferred qualifications include maintaining or significantly contributing to open-source AI, agent, or inference projects; producing technical video content; fine-tuning or post-training open-weight models; and having an established technical audience.

Benefits

  • Competitive compensation, bonus, equity packages, and Restricted Stock Units.
  • Paid time off, paid holidays, leave programs, and paid parental leave.
  • Comprehensive health, dental, and vision insurance, HSA contributions, paid life insurance, and short- and long-term disability coverage.
  • Professional development, tuition reimbursement, mental health and wellness support, commuter benefits, and a cell phone stipend.
  • 401(k) retirement plan with company matching up to 4% of salary.
  • Volunteer time off, global travel insurance, emergency assistance, daily meal allowance, and location-specific perks.
  • Travel is required up to 20%.

Salary: $180k - $220k/yr

Crusoe

As the AI factory company, Crusoe is on a mission to accelerate the abundance of energy and intelligence. The company provides a reliable, scalable, cost-effective, and energy-first solution for AI infrastructure. By harnessing large-scale energy resources, building AI-optimized data centers, and...

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