Tech Stack

Description

As a Senior ML Solutions Architect at Nebius, you will help customers design and implement customized LLM-based solutions using the Token Factory serverless inference platform. You'll build production-ready applications, provide technical expertise on prompt engineering and RAG, and collaborate with product and engineering teams to shape the platform roadmap.

Requirements

• 5+ years experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI
• Deep knowledge of LLM ecosystem including model architectures and fine-tuning approaches
• Hands-on experience with prompt engineering, LLM pipeline development, agentic frameworks (Langchain, Langsmith, etc.), vector databases, and RAG
• Experience deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models
• Strong Python programming skills and excellent communication skills

Responsibilities

• Design and implement LLM-based solutions using Nebius Token Factory's inference services
• Build production-ready applications leveraging serverless LLM APIs, including multimodal 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 focus on performance, reliability, and cost efficiency