Senior ML Solutions Architect - Token Factory

Role description

Role Overview

We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs.

What You Will Do

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.

Why It Might Be a Fit

We expect you to have 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.

Requirements

• 5+ years of experience in ML/AI systems
• Deep knowledge of the LLM ecosystem
• Hands-on experience with prompt engineering and LLM pipeline development
• 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

Benefits

• 100% company-paid medical, dental, and vision coverage for employees and families
• Up to 4% company match with immediate vesting
• 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
• Up to $85/month for mobile and internet
• Company-paid short-term, long-term, and life insurance coverage