Job Opportunities API

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a scrappy, resourceful Developer Advocate to help agent builders run their agents on Token Factory, Nebius' high-performance inference platform. Agents are now the dominant production workload: long-running, multi-model, tool-calling, and cost-sensitive. Agent builders pick models per step — small models for speed, reasoning models for hard steps, code models for code — and they care about latency, token cost, KV-cache behavior, and reliability. Your job is to show them how to build and run that loop on Token Factory and the open stack around it, including Tavily for agentic search. This is a hands-on role. You'll sit next to product and engineering, build agent demos, run workshops, write practical guides, and talk daily with developers who have strong opinions about how agents should run in production. If you like moving fast, wearing multiple hats, and turning deep technical work into something builders actually use, this role is for you. You are welcome to work remotely from the United States. Your responsibilities will include: Help agent builders discover, adopt and use Token Factory for production agent workloads. Build demos and reference agents that show real tradeoffs: model routing, latency, token cost, KV-cache hit rates, reliability. Show how the pieces fit: open models, tool use, MCP, agent frameworks, Tavily, evals. Run hands-on workshops and present at developer events and conferences. Gather direct feedback from agent builders and bring it back to product and engineering. Work with marketing to share real builder stories and use cases. We expect you to have:   Hands-on experience building agents: tool calling, multi-step workflows, agent frameworks (e.g. LangChain/LangGraph or similar), MCP. Strong understanding of how AI developers work and what breaks when agents hit production. Comfortable writing code, reviewing examples, and troubleshooting issues. Able to explain complex systems clearly to technical and non-technical audiences. Curious, practical, and opinionated about how developers actually build Key employee benefits in the US: Health insurance:  100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan:  Up to 4% company match with immediate vesting. Parental leave:  20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement:  Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,500 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International e