
1001 - 5000 employees
🏢 Enterprise
☁️ SaaS
AI • Enterprise • SaaS
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
🕒 March 16
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
🏢 Enterprise
☁️ SaaS
AI • Enterprise • SaaS
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
• Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals. • Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models. • Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization. • Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap. • Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency.
• 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI. • Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches. • Hands-on experience with: • Prompt engineering and LLM pipeline development, including evaluation. • Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent. • Vector databases and RAG implementation patterns. • Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models. • Strong Python programming skills. • Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences.
• Competitive salary and comprehensive benefits package. • Opportunities for professional growth within Nebius. • Flexible working arrangements. • A dynamic and collaborative work environment that values initiative and innovation.
Apply Now🕒 March 11
Solutions Architect for LangChain designing AI infrastructure and optimizing production-grade systems for enterprise customers. Collaborating with technical teams and leading customer engagements.
AWS
Azure
Cloud
Google Cloud Platform
Grafana
Kubernetes
Prometheus
Python
Terraform
TypeScript
🕒 January 7
Client Solutions Engineer working with enterprise clients to deploy automated content systems. Utilizing software and technical expertise to enhance visual and marketing asset production.
JavaScript
Python
TypeScript
🕒 December 17, 2025
Partner Solution Engineer at Omnissa empowering digital workspaces through digital transformation and solution development. Collaborating with partners to drive strategic engagement in the EUC space.
🗣️🇳🇱 Dutch Required
Android
AWS
Azure
Citrix
Google Cloud Platform
iOS
Linux
MacOS