6 months ago
Remote, EMEASenior
Responsibilities
- Design and implement LLM-based solutions using Nebius Token Factory inference services.
- Build production-ready applications with serverless LLM APIs, including 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 communicate customer feedback and influence the platform roadmap.
- Guide customers from proof of concept to production with attention to performance, reliability, and cost efficiency.
Requirements
- At least 5 years of experience in ML/AI systems, including 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, LLM pipeline development and evaluation, agentic frameworks, vector databases, RAG, and LLM-powered applications using OpenAI, Anthropic, or open-source model APIs.
- Strong Python programming skills.
- Excellent communication skills for explaining technical concepts to diverse audiences.
- Experience with vLLM, SGLang, TensorRT-LLM, Transformers, inference optimization, multimodal AI models, Docker, Kubernetes, and open-source ML/AI projects is a bonus.
Benefits
- Remote work from Europe is available.
- Competitive salary and comprehensive benefits package.
- Flexible working arrangements.
- Professional growth opportunities and a dynamic, collaborative work environment.
Tech Stack
Categories
Solutions Engineering
About Nebius
The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.