Staff AI Engineer, Developer Relations Engineering

Crusoe is seeking a Staff AI Engineer for Developer Relations Engineering in New York, NY (onsite). In this role, you will build agentic AI systems and make them usable for developers through reference agents, open-source integrations, and sample applications on Crusoe Cloud and Crusoe Managed Inference.

You will also lead technical content creation and community engagement, partnering across Product, Engineering, Research, and GTM/Solutions so developer learnings directly inform product direction.

What you’ll do

• Architect and ship end-to-end reference agents and starter kits on Crusoe that developers can use as a starting point for production, including tool use, MCP, multi-agent orchestration, RAG, structured outputs, memory, and evals.
• Own the code examples, tutorials, and documentation that take developers from their first API call to a working agent, keeping materials tested and current as the ecosystem evolves.
• 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.
• Turn delivered systems into developer resources through deep-dive blog posts, notebooks, YouTube videos, livestreams, and short technical clips.
• Share your work across platforms such as X, LinkedIn, YouTube, Discord, Reddit, and Hacker News by answering technical questions, reviewing community projects, and acting as a trusted technical voice in the agent and open-source community.
• Partner with GTM/Solutions Engineering to identify recurring customer patterns and translate them into open reference architectures for segments such as Physical AI, robotics, simulation, and other industry verticals.
• Work within Product, Engineering, and Research workflows by testing features and models before launch, ensuring samples and docs are ready, and feeding developer friction back into concrete product input through issue follow-through until fixed or explicitly deprioritized.
• Deliver technical talks, live demos, and hands-on labs at conferences, meetups, hackathons, and workshops.

Qualifications

• 5+ years as a software engineer, ML engineer, applied AI engineer, forward-deployed engineer, or 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 the OpenAI Agents SDK.
• Well-formed opinions about what succeeds and what fails in production.
• Cloud experience with platforms such as AWS, GCP, or Azure and foundational understanding of cloud infrastructure concepts.
• Working knowledge of model serving, including OpenAI-compatible APIs, open-weight models, and serving engines such as vLLM or SGLang.
• Ability to explain cost and latency tradeoffs credibly.
• Evidence of public sharing through GitHub repos, open-source contributions, blog posts, videos, talks, or active social/platform presence (include links when applying).
• Strong communication skills in written and verbal formats, including documentation, white papers, video explainers, and presentation decks.
• Ability to collaborate across teams, set priorities, and ship in a fast-moving environment.
• Travel up to 20%.
• Bachelor’s/Master’s/PhD in Computer Science, or equivalent practical experience.

Technologies

• Python
• LangGraph, LlamaIndex, CrewAI, Pydantic AI
• OpenAI Agents SDK
• MCP
• vLLM, SGLang
• AWS, GCP, Azure
• OpenAI-compatible APIs

Compensation

• Salary range: USD 180,000 - 220,000 per year, plus bonus.
• Restricted Stock Units included in all offers.
• Final compensation determined based on knowledge, education, abilities, internal equity, and alignment with market data.

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
• Volunteer time off
• Global travel insurance & emergency assistance
• Daily meals allowance
• Additional perks & programs specific to location

Bonus points

• 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 views on models, agents, and tooling

About the role

• Crusoe is hiring for Developer Relations Engineering to build agentic AI systems and show developers how they work.
• You will build reference agents, open-source integrations, and sample applications on Crusoe Cloud and Crusoe Managed Inference.
• The role focuses on 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 Product, Engineering, Research, and GTM/Solutions Engineering while working across the open-source agent ecosystem.
• Most of your time will go to building and sharing what you build.