Top Artificial Intelligence Jobs in France

Design and implement NLP and generative AI systems, develop multi-agent architectures, and drive AI governance for business value.

The role involves delivering technical solutions, integrating AI/ML models, developing software, and mentoring junior engineers while ensuring customer satisfaction through engagement and solution design.

Join our AI Operations team as a Software Engineer, developing AI-powered features and tools, optimizing services, and shaping internal standards.

Join the AI Health Companion stream to develop AI-powered features for the Doctolib app, focusing on patient health management and safety.

As IT Business Lead, you'll align IT and business strategies, lead initiatives in AI and process optimization, and ensure delivery of tech initiatives.

Join Dailymotion's AI Integration team as a Senior Backend Engineer, developing AI-driven backend services and APIs, working with a primarily Python stack and collaborating across teams to enhance content creators' experience.

The Talent Acquisition Operations Partner will optimize recruitment using AI, automate processes, and enhance candidate experiences while driving data-driven insights across hiring models.

As a Fullstack Engineer, you will design user interfaces, build APIs, write and test code, participate in deployments, and contribute to platform improvements while collaborating in an agile environment.

In this role, you will leverage AI capabilities to improve customer interactions while collaborating with sales teams, developing strategies, and leading AI-focused workshops for clients.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

Manage implementation projects from planning to execution, ensuring client satisfaction and continuous improvement of processes and products.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Design, build, and deploy AI and automation solutions for FinTech processes. Write Python/SQL to orchestrate data, implement agentic AI workflows, automate reconciliations and reporting, connect systems with n8n, and upskill teammates on AI tools while owning project outcomes.

The AI Deployment Strategist drives adoption and deployment of AI solutions, collaborating with customers, designing roadmaps, and ensuring successful implementation of AI technology.

Design, build, and productionize LLM-based, retrieval, and multimodal AI systems. Develop RAG and agentic pipelines, deploy and monitor models in cloud-native environments, evaluate performance, and collaborate with engineering and product teams to scale robust AI solutions.

Review, rank, and improve AI-generated code to train LLMs: compare implementations, repair/refactor for correctness, efficiency, and style, and provide detailed feedback for RLHF pipelines. Work asynchronously as a remote contractor, injecting ratings, edits, and test results to improve model outputs.

Evaluate and improve AI-generated code: compare and rank snippets, repair and refactor for correctness, efficiency, and style, and inject detailed feedback and test results into the RLHF training pipeline as an asynchronous remote contributor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.

Evaluate, rank, repair, and refactor AI-generated code to improve correctness, efficiency, and style; provide detailed written feedback for RLHF pipelines; and help maintain the code-evaluation and training workflow remotely.

Review, rank, repair, and refactor AI-generated code to improve correctness, performance, and style. Provide detailed written feedback and edits for RLHF pipelines, converting expert judgments into signals used to train models. Work asynchronously as a remote 1099 contractor.

Design and implement AI components for in-game event recognition and model optimization, focusing on multimodal learning and performance tuning.

Lead development of ML and deep learning models to integrate multi‑omics data for target identification, pathway analysis, and patient stratification. Design representation‑learning and transformer‑based approaches, ensure model robustness and interpretability, scale experiments on HPC/cloud, and collaborate with biologists and discovery teams to translate findings into drug discovery workflows.

Lead development of LLM/NLP and agentic AI solutions for Competitive Intelligence and Clinical Operations. Design RAG and vector-database architectures, build scalable CI tools, implement data pipelines and extraction systems, and deliver insights to stakeholders while operating in cloud environments.

The Senior Product Manager will lead The Economist’s strategy for Gen AI and conversational platforms, ensuring accurate representation and citation of journalism across AI systems. This includes managing integrations, defining standards, and collaborating with engineering, data science, and marketing teams.

Lead the development of the AI Platform, ensuring tools and infrastructure support AI product teams. Define product vision, technical capabilities, and robust frameworks for AI initiatives.