Senior ML Solutions Architect - Token Factory

Why work at Nebius

Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work

Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The role

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.

You’re welcome to work remotely from Singapore.

Your responsibilities will include:

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

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

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

It would be an added bonus if you have:

Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers)

Familiarity with inference optimization techniques such as quantization, batching, caching, and routing

Work with multimodal AI models (e.g., vision-language, speech)

Proficiency with DevOps tools (Docker, Kubernetes)

Contributions to open-source ML/AI projects

Preferred technical stack:

Programming Languages – Python

ML Frameworks and Libraries – vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs

Frameworks for Agentic Pipelines – Langchain / Langsmith / smolagents / equivalent

API and Web Frameworks – FastAPI, Flask

MLOps and DevOps tools – Kubernetes (K8s), Docker, Git

Cloud Platforms – AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)

What we offer

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.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!