Staff AI Engineer, Developer Relations Engineering @ Crusoe

Crusoe; Myrtle Point (OR); In loco; USD 180.000 - 220.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive compensation and equity

Paid time off, holidays & leave

Comprehensive health, dental & vision

401(k) with company match

Volunteer time off

Daily meals allowance

Descrizione del lavoro

Crusoe is seeking an AI Engineer to join our Developer Relations Engineering team. You will design and ship agentic reference systems, starter kits, and open-source integrations for Crusoe Cloud and Crusoe Managed Inference.

You’ll lead technical content creation, tutorials, and sample apps while engaging developers across platforms.

Competenze

• 5+ years as a software/ML engineer or similar
• Experience building LLM applications and agents
• Proven ability to share technical work publicly

Mansioni

• Build agentic reference systems and starter kits
• Own code examples, tutorials, and documentation
• Contribute to open-source agent frameworks and tooling
• Create technical content: blogs, videos, talks
• Collaborate across product, engineering, research, and GTM teams

Conoscenze

Python

Cloud computing

LLM apps

Open-source

Technical storytelling

Formazione

Bachelor's/Master's/PhD in Computer Science

Strumenti

LangGraph

LlamaIndex

CrewAI

Pydantic AI

OpenAI Agents SDK

vLLM

SGLang

Descrizione del lavoro

About the Role

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.

What You'll Bring to the Team:

• Engineering Experience: 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. A Developer Relations title is not required.
• Engineering Credibility: Ability to earn credibility with both AI infrastructure engineers and ML/AI engineers.
• Agentic AI: 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. You have well-formed opinions about what works and what breaks in production.
• Cloud Infrastructure: Experience working with cloud computing platforms (such as AWS, GCP, or Azure) or managed AI solutions, with a foundational understanding of cloud infrastructure concepts.
• Inference & Model Serving: Working knowledge of how models are served, including OpenAI-compatible APIs, open-weight models, and serving engines such as vLLM or SGLang. You can explain cost and latency tradeoffs credibly.
• Public Track Record: 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. Please include links when you apply.
• Technical Communication: Strong communication skills across written and verbal formats, including technical documentation, white papers, video explainers, and presentation decks.
• Ownership & Collaboration: You work well across teams, set your own priorities, and ship in a fast-moving environment.
• Travel Requirement: Ability to travel up to 20%.
• Education: Bachelor's/Master's/PhD degree in Computer Science, or equivalent practical experience.

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 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
• Volunteer time off
• Global travel insurance & emergency assistance
• Daily meals allowance

Additional perks & programs specific to location

Compensation Range

Compensation will be paid in the range of up to $180,000-$220,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.