Forward Deployed Engineer, Ecosystem

Role Overview

• Design and prototype integrations between partner products and the Nebius platform — fast, hands-on, and technically sound.
• Define reference architectures for partner integrations — not just what works, but how it should work at scale and in production.
• Scope partner architectures against our platform — how does this product actually work on our stack, where does it snap together, where does it break.
• Build production-quality proof-of-concepts across the AI stack including agentic pipelines, RAG architectures, inference optimization patterns, and multi-model orchestration.
• Produce working proof-of-concepts that serve as the starting point for product creation — not a requirements doc, a working thing.
• Maintain a library of reference architectures and integration patterns that internal product and engineering teams can build from.
• Work directly with partner engineering teams to scope, prototype, and progress integrations.
• Assess partner architectures honestly — if the integration is painful, that is signal; if it snaps together in a weekend, that is also signal; report both.
• Provide technical guidance to partners on how to maximize performance, reliability, and cost efficiency on Nebius infrastructure.
• Produce technical scoping that gives your pod partner and internal teams a clear picture of integration feasibility, depth, and complexity.
• Translate external integration findings into actionable product requirements for Nebius platform teams.
• Work with ISV partners, SI teams, and field teams to scale solution adoption and drive revenue once a solution is ready.
• Surface recurring architectural patterns and integration gaps to inform platform roadmap decisions.
• Participate in platform planning as the technical voice of what you are seeing and building in the field.
• Represent Nebius at hackathons, in open source communities, and at technical events.
• Build in public — demos, reference architectures, and integrations that establish Nebius as the platform serious AI builders choose.
• Stay current with the AI tooling ecosystem — you know what shipped last week and what it means for our stack.

Requirements

• 6+ years of hands-on engineering experience in AI application development, ML systems, or AI infrastructure.
• Deep working knowledge of the AI developer stack — LLM APIs, inference runtimes, orchestration frameworks, vector databases, RAG architectures, agentic pipelines — built through shipping, not reading.
• Hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent.
• Strong Python programming skills and comfort prototyping end-to-end AI systems quickly.
• Experience defining reference architectures and technical patterns — not just implementing them.
• Proven ability to move from idea to working prototype fast — you have shipped meaningful things under time pressure and found it energizing.
• Experience building integrations across APIs and developer platforms — you understand where the complexity actually lives.
• Comfortable working across both external partner engineering teams and internal Nebius product and engineering teams simultaneously.
• Strong technical communication — you can explain architecture decisions and integration findings to a founding CTO and a non-technical partner lead in the same day.

Tech Stack

• Open Source
• Python

Benefits

• 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.