Senior AI Engineer - Industrial Data & LLM Platform

European Tech Recruit

Le Chesnay-Rocquencourt

On-site

EUR 90,000 - 120,000

Full time

14 hours ago
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Job summary

European Tech Recruit is seeking a Senior AI Engineer to help build the core platform from the ground up. You will design data models and context graphs, develop LLM-powered agents, and implement robust data pipelines to enable AI reasoning over complex information.

This hands-on role offers ownership of architecture and product development, with collaboration across backend, frontend and cloud infrastructure, and close work with the CTO to shape engineering practices.

Qualifications

  • MSc or PhD in Computer Science is required.
  • 5+ years of relevant industry experience.
  • Strong full-stack software engineering background.
  • Hands-on experience with LLMs, RAG, or AI agents.

Responsibilities

  • Design data models and context graphs connecting factory processes, products and machinery.
  • Develop AI agents and LLM-powered applications for industrial knowledge.
  • Build pipelines to convert videos, documents and machine data into structured information.
  • Develop retrieval systems to support AI applications.
  • Maintain production software across backend, frontend and cloud infrastructure.
  • Collaborate with the CTO on architecture and engineering practices.

Skills

Python programming
Full-stack software engineering
Data modelling
LLM agents
English communication
Entrepreneurial mindset
Technical ownership

Education

MSc or PhD in Computer Science

Tools

Python
FastAPI
TypeScript
React
Next.js
Google Cloud Platform (GCP)

Job description

European Tech Recruit is seeking a Senior AI Engineer to help build the core platform from the ground up. You will design data models and context graphs, develop LLM-powered agents, and implement robust data pipelines to enable AI reasoning over complex information.

This hands-on role offers ownership of architecture and product development, with collaboration across backend, frontend and cloud infrastructure, and close work with the CTO to shape engineering practices.

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