Senior ML Engineer, Developer Relations Engineering

The role

You will build agentic AI systems and show other developers how they work. You will create reference agents, open-source integrations, and sample applications on Crusoe Cloud and Crusoe Managed Inference.

What you will do

• Architect and ship end-to-end reference agents and starter kits on Crusoe.
• Own code examples, tutorials, and documentation.
• Own Crusoe's developer-facing GitHub presence.
• Contribute upstream to agent frameworks, inference engines, and developer tooling.
• Turn systems into technical content like blog posts, notebooks, YouTube videos, and livestreams.
• Share work on social platforms like X, LinkedIn, YouTube, Discord, Reddit, and Hacker News.
• Partner with GTM/Solutions Engineering to create use-case blueprints.
• Test features and models before launch and provide product input.
• Give technical talks, live demos, and hands-on labs at conferences, meetups, hackathons, and workshops.

Required qualifications

• 5+ years as a software engineer, ML engineer, applied AI engineer, forward-deployed engineer, or in a similar hands-on engineering role, with strong Python.
• Ability to earn credibility with both AI infrastructure engineers and ML/AI engineers.
• Hands-on experience building LLM applications and agents with tool calling, MCP, retrieval, memory, and evaluation, using one or more frameworks such as LangGraph, LlamaIndex, CrewAI, Pydantic AI, or
• Experience working with cloud computing platforms (such as AWS, GCP, or Azure) or managed AI solutions, with a foundational understanding of cloud infrastructure concepts.
• Working knowledge of how models are served, including OpenAI-compatible APIs, open-weight models, and serving engines such as vLLM or SGLang.
• Evidence of sharing technical work in public through GitHub repos, open-source contributions, blog posts, videos, talks, or an active technical presence on social platforms.
• Strong communication skills across written and verbal formats, including technical documentation, white papers, video explainers, and presentation decks.
• Ability to work well across teams, set own priorities, and ship in a fast-moving environment.
• Ability to travel up to 20%.
• Bachelor's/Master's/PhD degree in Computer Science, or equivalent practical experience.

Nice to have

• Maintainer or significant contributor to an open-source AI, agent, or inference project
• Experience producing technical video content such as YouTube tutorials, livestreams, or screencasts
• Experience fine-tuning or post-training open-weight models (SFT/RL/LoRA)
• An existing technical audience that trusts your views on models, agents, and tooling

Benefits

• Competitive compensation and equity packages
• Restricted Stock Units
• Paid time off, paid holidays & leave of absence programs
• Comprehensive health, dental & vision insurance
• Employer contributions to HSA account
• Paid parental leave
• Paid life insurance, short-term and long-term disability
• Professional development & tuition reimbursement
• Mental health & wellness support
• Commuter benefits (parking & transit)
• Cell phone stipend
• 401(k) Retirement plan with company match up to 4% of salary

About the company

Crusoe is an AI infrastructure company that owns and operates each layer of the stack to power AI workloads. They use an energy-first approach to solve the demand for AI compute.