Ecosystem Solutions Engineer – AI Integrations

Nebius; United States; Hybrid; USD 208,800 - 261,000; Full time

Benefits offered by this job

Health Insurance

401(k) Plan

Parental Leave

Remote Work Reimbursement

Disability & Life Insurance

Job summary

Nebius is building a full-stack AI cloud platform and seeks a Forward Deployed Engineer, Ecosystem, to bridge solution architecture with hands-on engineering on partner integrations.

You will prototype reference architectures, scope integration work with partner teams, and translate discoveries into product requirements while driving platform adoption and revenue. This role suits engineers who ship under time pressure and communicate complex ideas to CTOs and non-technical partners.

Qualifications

• 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.
• 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 under time pressure.

Responsibilities

• Design and prototype integrations between partner products and the Nebius platform—fast, hands-on, and technically sound.
• Define reference architectures for partner integrations—how it should work at scale and in production.
• Scope partner architectures against our platform—how the product works on our stack and where it breaks.
• Build production-quality proofs-of-concept across the AI stack including agentic pipelines and multi-model orchestration.
• Produce working proofs-of-concept that inform product creation, not just requirements documents.
• Maintain a library of reference architectures and integration patterns for internal teams.

Skills

AI engineering

Solution architecture

Python

Prototyping

Technical communication

Education

Bachelor's degree in CS/Engineering

Tools

LangChain

LangGraph

CrewAI

AutoGen

Docker

Kubernetes

Job description

Nebius is building a full-stack AI cloud platform and seeks a Forward Deployed Engineer, Ecosystem, to bridge solution architecture with hands-on engineering on partner integrations.

You will prototype reference architectures, scope integration work with partner teams, and translate discoveries into product requirements while driving platform adoption and revenue. This role suits engineers who ship under time pressure and communicate complex ideas to CTOs and non-technical partners.