Senior ML Solutions Architect Serverless LLMs in Production

Slashhash; Netherlands; Hybrid; EUR 110,000 - 150,000; Full time

Job summary

Slashhash is seeking a Senior ML Solutions Architect to join the partner company's AI infrastructure team in Europe. You will architect a serverless platform for running and customizing open-source LLMs in production, focusing on optimized inference, fine-tuning, evaluation, and RAG architectures.

The role requires 5+ years in ML/AI with 2+ years in LLMs and generative AI, strong Python skills, and a customer-facing mindset to engage European clients.

Qualifications

• 5+ years of ML/AI experience, including 2+ years focused on LLMs and generative AI.
• Strong Python programming skills.
• Experience designing optimized LLM inference workflows and evaluation.
• Familiarity with serverless inference architectures and production readiness.

Responsibilities

• Optimize LLM inference workflows across modalities to deliver measurable value and meet customer requirements.
• Support customers with supervised and reinforcement-learning-based fine-tuning approaches to improve quality.
• Design and implement LLM-powered solutions using serverless inference services and served open-source models.
• Build production-ready applications using LLM APIs, including multimodal models (text, vision, audio).
• Provide technical guidance on prompt engineering, RAG architectures, model selection, and deployment strategies.
• Guide customers from proof-of-concept to production with focus on performance, reliability, and cost efficiency.
• Work with product and engineering to communicate customer needs and roadmap gaps.
• Advise on model selection and tuning strategies based on use cases and constraints.

Skills

Machine Learning

LLMs

Generative AI

Python

Fine-tuning

Supervised Fine-Tuning

LoRA

Reinforcement Learning

LLM Evaluation Frameworks

vLLM

SGLang

TensorRT-LLM

Transformers

OpenAI API

Anthropic API

RAG

Prompt Engineering

Serverless Inference

Multimodal Models

Tools

Docker

Kubernetes

Git

Open-source Contributions

AWS SageMaker

AWS Bedrock

Google Vertex AI

Azure ML

Job description

Slashhash is seeking a Senior ML Solutions Architect to join the partner company's AI infrastructure team in Europe. You will architect a serverless platform for running and customizing open-source LLMs in production, focusing on optimized inference, fine-tuning, evaluation, and RAG architectures.

The role requires 5+ years in ML/AI with 2+ years in LLMs and generative AI, strong Python skills, and a customer-facing mindset to engage European clients.