6 days ago
Base Salary
$180k - $220k/yr
Responsibilities
- Architect and ship end-to-end agentic AI reference systems and starter kits on Crusoe Cloud and Crusoe Managed Inference.
- Build and maintain tested code examples, tutorials, documentation, cookbooks, integrations, and sample applications.
- Own Crusoe’s developer-facing GitHub presence and contribute upstream to agent frameworks, inference engines, and developer tooling.
- Create technical blog posts, notebooks, white papers, YouTube videos, livestreams, short technical clips, talks, demos, and hands-on labs.
- Engage publicly with developers through social platforms, Discord, Reddit, Hacker News, conferences, meetups, hackathons, and workshops.
- Partner with GTM/Solutions Engineering to turn recurring customer patterns into open reference architectures for developer segments including Physical AI, robotics, and simulation.
- Collaborate with Product, Engineering, and Research to test features and models, prepare launch materials, and communicate developer friction through resolution.
- Answer technical questions, review community projects, and build credibility in the agent and open-source communities.
Requirements
- 5+ years of hands-on experience as a software engineer, ML engineer, applied AI engineer, forward-deployed engineer, or in a similar engineering role, with strong Python skills.
- Hands-on experience building LLM applications and agents using tool calling, MCP, retrieval, memory, and evaluation, with 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 technical track record through GitHub repositories, open-source contributions, blog posts, videos, talks, or technical social media presence.
- Strong written and verbal technical communication skills, including documentation, white papers, video explainers, and presentation decks.
- Ability to collaborate across teams, set priorities independently, and work in a fast-moving environment.
- Ability to travel up to 20%.
- 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 using SFT, RL, or LoRA; and having an established technical audience.
Benefits
- Competitive compensation and equity packages, including Restricted Stock Units.
- Paid time off, paid holidays, leave of absence programs, paid parental leave, and volunteer time off.
- Comprehensive health, dental, and vision insurance, HSA contributions, paid life insurance, and short- and long-term disability coverage.
- Professional development and tuition reimbursement, plus mental health and wellness support.
- Commuter benefits, cell phone stipend, 401(k) retirement plan with company match up to 4% of salary, global travel insurance, and emergency assistance.
- Daily meals allowance and additional location-specific perks and programs.
Tech Stack
Categories
About Crusoe
Crusoe builds and operates GPU-powered data centers and an AI cloud platform for enterprises running large-scale AI training and inference. It vertically integrates energy supply with compute, using stranded and renewable power to reduce emissions and costs, and sells capacity via cloud services and managed infrastructure. Founded in 2018 and headquartered in Denver, the company is privately held.