Hybrid AI Engineer: GenAI & LLM in Production

Revodata; Amsterdam; Hybrid; EUR 50,000 - 110,000; Full time

Benefits offered by this job

Tech Playground

Unlimited Learning

Fun Clubs

Work-Life Balance

Wellbeing Budget

Allowances for travel, internet, and '

Pension plan

Lunch at the office

Quarterly events

Pet-friendly office

Job summary

RevoData is a boutique Data & AI consultancy focused on Databricks, delivering AI-powered solutions for real-world business challenges in Europe. As an AI Engineer, you collaborate with clients to design and build scalable AI systems that move from prototype to production, combining strong technical skills with pragmatic, client-focused delivery.

You’ll work across the full lifecycle from experimentation to deployment, leveraging LLMs, GenAI frameworks, and data pipelines in cloud environments.

Qualifications

• Experience building AI systems in production environments.
• Hands-on with LLMs, RAG, or agentic workflows.
• Proficient with LangChain or similar frameworks.
• Familiar with LLMOps: CI/CD, observability, evaluation.
• Able to design scalable data pipelines for real-world use cases.
• Proficient in Dutch language and client-facing communication.

Responsibilities

• Design and build AI solutions for clients to address real business problems.
• Bridge experimentation and production, ensuring reliability in deployed systems.
• Collaborate with clients to translate business challenges into technical roadmaps.
• Lead projects from scoping to delivery, with strong communication.

Skills

LLMs & GenAI

Dutch proficiency

Data pipelines

Cloud computing

Consultant mindset

ML/AI engineering

GenAI frameworks

LLMOps

Job description

RevoData is a boutique Data & AI consultancy focused on Databricks, delivering AI-powered solutions for real-world business challenges in Europe. As an AI Engineer, you collaborate with clients to design and build scalable AI systems that move from prototype to production, combining strong technical skills with pragmatic, client-focused delivery.

You’ll work across the full lifecycle from experimentation to deployment, leveraging LLMs, GenAI frameworks, and data pipelines in cloud environments.