AI Engineering Jobs in France
There are 205 open AI Engineering jobs in France on freehire right now. 41 of them were posted recently. The skills employers ask for most often are ai, python and llm.
Most requested skills
- ai 78%
- python 65%
- llm 56%
- cloud 52%
- machine-learning 46%
- generative-ai 42%
- rag 41%
- aws 39%
How the work is done
- Hybrid 64 · 31%
- Remote 23 · 11%
- Onsite 9 · 4%
Visa sponsorship offered in 74% of the 31 postings that state a position on it.
Seniority
- Senior 46
- Intern 16
- Lead 15
- Principal 7
- Staff 7
- Junior 3
Who is hiring
- 1000+ employees 41
- 501-1000 employees 35
- 51-200 employees 4
- 11-50 employees 2
- 201-500 employees 2
- 1-10 employees 1
Data/AI Engineer - F/H/N
This is an internship role focused on developing an AI agent to autonomously detect, diagnose, and remediate incidents within a modern data stack using Airflow, dbt, and LLM technologies.
Stage - AI engineer - Agentic / GEN AI - F/H/N
Internship designing and developing multi-agent AI systems and RAG prototypes for data quality error detection and remediation, using LLMs and knowledge bases within a consulting firm.
Stage AI Engineer - Green AI & Agentique - F/H/N
Intern exploring Green AI and agentic systems: research state-of-the-art, architect and implement a POC, deploy it on GCP with Kubernetes and MLOps tools, then analyze and optimize its environmental footprint. Core stack: Python, GCP, k8s, MLOps.
Alternance Google Cloud & AI Engineer (all genders)
A 1-year work-study (alternance) role in Paris where a final-year engineering student builds AI/Cloud demos, PoCs, and scalable solutions on Google Cloud Platform while supporting client workshops and pre-sales alongside senior architects.
AI Engineer – Consultant·e confirmé·e / senior
As an AI Engineer at Saegus, you will design, develop, and deploy generative AI and machine learning solutions, focusing on RAG systems and MLOps to move prototypes into production. You will work closely with business and data teams to implement high-impact AI applications.
Stage - AI Engineer - AIOps & Cloud SRE - F/H/N
Internship exploring how to transform SRE runbooks, postmortems, and documentation into structured, versioned knowledge for AI agents like HolmesGPT and MCP, using Python/Go, Kubernetes, and Git in an instrumented lab environment.
Generative AI Adoption Lead - freelance - Rueil Mailmaison, IDF, France
The Generative AI Adoption Lead will guide users through the adoption of AI tools, focusing on training, prompting best practices, and assessing productivity gains. This freelance role involves collaborating with IT and business stakeholders to ensure responsible and effective AI usage.
Architecte Data & IA — Pipelines, GenAI et Cloud
The Data & AI Architect will design and implement scalable data platforms and AI solutions, including GenAI and agent systems, within a cloud environment. The role involves collaborating with cross-functional teams to translate business requirements into robust technical architectures.
Senior GenAI Platform Engineer for Data Migrations
Build and maintain automated data migration tools for a GenAI platform, primarily using Python and Java, while ensuring clean architecture and AI system integration.
Particle Physics AI Engineer — Data Processing & HL-LHC ML
Develop AI/ML models for particle physics data processing at CEA's Saclay site, focusing on self-supervised learning, data pipelines, and event reconstruction for the HL-LHC.
Applied AI Engineer, Enterprise
Applied AI Engineer guides France’s largest companies in deploying Anthropic’s Claude, advising on architecture, agent design, and business value to secure enterprise adoption.
Lead AI Engineer - AI Adoption & SDD Coach
The Lead AI Engineer will coach IT teams on adopting AI-augmented development, specifically focusing on Spec-Driven Development (SDD) and tools like GitHub Copilot. The role involves creating AI delivery playbooks, training staff, and industrializing AI workflows across the software development lifecycle.
AI Research Engineer - Datadog AI Research (DAIR)
Research Engineer at Datadog’s AI lab in Paris builds and scales multimodal AI systems for cloud observability, training world models and autonomous agents using PyTorch, Ray, and GPU clusters.
Manager I, Applied AI - Distilled Models
Lead a team of engineers and applied scientists to build and ship cost-efficient AI models and security capabilities for Datadog’s observability and security platform, focusing on specialized models and AI-driven solutions.
Senior AI Engineer – Notebooks
Build AI-powered collaborative notebooks for data analysis and incident response, integrating LLM tools to enhance user workflows and bridge Datadog’s observability platform with AI agents.