GenAI Engineer for Engineering & Design

United States Digital Space LLC; Rotterdam; On-site; EUR 36,000 - 42,000; Full time

Benefits offered by this job

Holiday allowance

Pension

Travel allowance

25 holidays per year

Lunch buffet

Company trip

Social events

Job summary

the company in Rotterdam is seeking an AI Software Engineer to join the Software Engineering team (8 FTE) and lead GenAI projects for offshore wind and heavy civils. You will own AI development end-to-end from scoping to deployment and adoption, shaping how AI is applied across engineering and design.

You should be a fast learner with strong technical insight, experienced in Python and React, with hands-on AI experience, RAG and prompt engineering, and familiarity with Azure.

Qualifications

• Master's degree or higher in a technical field (CS, DS, AI)
• Hands-on experience with Python and modern AI frameworks
• Experience with LLMs, fine-tuning, and RAG
• Knowledge of prompt engineering and API integrations

Responsibilities

• Build GenAI applications: agents, agentic workflows, document intelligence
• Select and evaluate language models and integrate via APIs, SDKs
• Create fine-tuned and RAG models based on engineering data
• Build self-learning and agentic systems that improve with use
• Translate user needs into working AI features
• Give demos and collect feedback to onboard engineers and designers
• Stay current with the AI landscape and bring new techniques to the team

Skills

Python

React

LLMs

AI frameworks

RAG

Prompt engineering

Azure

Education

Master's degree in Computer Science, Data Science or Artificial Intelligence

Applied Mathematics or Econometrics

Tools

Azure

APIs

Job description

the company in Rotterdam is seeking an AI Software Engineer to join the Software Engineering team (8 FTE) and lead GenAI projects for offshore wind and heavy civils. You will own AI development end-to-end from scoping to deployment and adoption, shaping how AI is applied across engineering and design.

You should be a fast learner with strong technical insight, experienced in Python and React, with hands-on AI experience, RAG and prompt engineering, and familiarity with Azure.