Forward Deployed Engineer, Ecosystem

Stelle nicht auf LinkedIn

🕒 vor 3 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $208.800 - $261.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

👷🏻‍♀️ Ingenieur

👻 Geisterscore 31%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Nebius Group

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

🤖 Künstliche Intelligenz

🏢 Unternehmen

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Die Nebius Group baut eines der weltweit führenden Unternehmen für KI-Infrastruktur auf und konzentriert sich darauf, die notwendige Rechenleistung, Speicherkapazität und Tools für Entwickler im KI-Bereich bereitzustellen. Mit Sitz in Europa und an der Nasdaq notiert verfügt Nebius über eine globale Präsenz mit F&E-Zentren in Europa, Nordamerika und Israel. Das zentrale Angebot des Unternehmens ist eine KI-zentrierte Cloud-Plattform, die für rechenintensive KI-Workloads ausgelegt ist, ergänzt durch verschiedene weitere Geschäftsbereiche in den Bereichen Generative KI, Edtech und autonome Technologien.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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.