Top Artificial Intelligence Jobs in France

Research and engineer large multimodal and reinforcement-learning models for robotic agents: design, train, evaluate models; prototype in simulation and on hardware; build data pipelines, simulation environments, and distributed training infrastructure; collaborate to scale promising approaches into production and publish results.

Design and build research prototypes and production-capable systems to enable portable, interoperable agent and model workflows. Develop model routing, provider abstractions, memory and context representations, benchmarking suites, and evaluation protocols. Run ML experiments, implement robust APIs and integration layers, collaborate across research and engineering, and communicate results via reports, demos, publications, and open-source releases.

Lead product discovery and delivery for Doctrine's legal AI platform: understand legal users, define metrics and requirements, run experiments/MVPs, validate with users, align cross-functional teams, and continuously improve product adoption and performance.

Advise AI-focused customers to design scalable AI solutions and manage large-scale GPU deployments. Deliver technical presentations, documentation, and webinars. Collaborate with engineering and product teams to prioritize and convey customer feedback.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

Build and test AI-agent features and internal agent frameworks for a proactive cybersecurity platform. Implement and integrate generative AI systems (agents and RAG), stay current with AI research, and apply innovations to product development and evaluation within a security-focused environment.

The Senior AI Engineer will develop AI solutions, fine-tune models, monitor performance, and collaborate with teams to embed AI capabilities, focusing on generative AI and LLMs.

Build and fine-tune LLMs for editorial tone, design datasets and annotation/versioning, implement RAG and TTS/STT prototypes, evaluate generation quality with automated and human-in-the-loop metrics, and partner with journalists to iterate AI-driven editorial experiments.

Design, build, evaluate, and deploy LLM-driven features and AI systems. Collaborate with engineering and product teams to implement RAG, monitoring, CI/CD, and scalable cloud ML deployments while continuously improving model performance.

The Director of Business Development will drive revenue through creating strategies for new business, managing client relationships, and overseeing sales processes while ensuring high service standards.

Design and implement backend intelligence for autonomous spatial workflows: architect multi-step agentic execution paths, state tracking and memory systems, consume streaming MCP data, and integrate alerting/notification pipelines (Slack, webhooks) driven by autonomous decisions.

As a Senior Software Engineer at Razer, you will develop high-performance C++ systems for real-time game data acquisition, event tracking, and video generation, while optimizing engine performance and ensuring system reliability.

Lead Oyster's data platform and AI strategy, centralize AI initiatives into production systems, build scalable data and MLOps infrastructure, modernize knowledge architecture and semantic search, partner cross-functionally to embed AI into products and workflows, enforce tooling standards and governance, and drive organizational adoption and change management for AI-assisted operations.

The Senior AI Engineer will build AI-powered tools to assist healthcare professionals, working on Doctolib Assistant to enhance care delivery and automate tasks.

Manage end-to-end AI solution implementations for infrastructure clients: lead projects, coordinate stakeholders, handle technical integrations, drive change management and adoption, ensure quality, and feed improvements back to product.

Lead Technology & AI due diligence and transformation workstreams for private equity and corporate clients. Assess tech stacks, data foundations, AI maturity, technical debt, scalability and cybersecurity; structure GenAI adoption and use-case prioritization; recommend platforms, governance and operating models; support PMO and change management; present findings to executives and coach junior staff.

Lead AI, Data and Technology due diligence, value creation and transformation engagements for private equity clients. Assess architectures, AI maturity, technical risks and operating models; define AI/GenAI strategies, prioritize use cases, lead transformation programs, manage senior client relationships, drive business development, and mentor project teams.

Provide high-volume, empathetic player support via Zendesk; investigate account issues, escalate and document complex cases, identify recurring problems, and drive automation and AI improvements with Product and Engineering to reduce tickets and improve CSAT.

Lead strategy and experimentation to maximize the company's presence in AI-driven search. Design measurement frameworks for LLM visibility, run tests to understand LLM citation behavior, integrate data sources, and collaborate with Product, Engineering and PR to optimize site architecture, schemas, and APIs for AI ingestion and perception.

Lead deployment, debugging, benchmarking, and performance optimization of large-scale GPU training and inference workloads. Work with NVIDIA teams and external customers to diagnose cluster bottlenecks, improve efficiency, guide scaling strategies, and contribute to resiliency for Europe's Sovereign AI initiatives.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

The role involves reviewing and evaluating AI-generated outputs, correcting text and analyzing content with a keen focus on cultural relevance and accuracy.

The AI Software Engineer will develop and improve Joko's AI shopping assistant, focusing on architecture, evaluation, data management, and personalized user experiences, while collaborating with product teams.

Lead strategy, roadmap, and execution for Front's Copilot AI assistant in the Inbox. Define product vision, prioritize features using quantitative and qualitative insights, drive end-to-end development, and collaborate closely with engineering, design, data, marketing, and sales. Ensure product quality, trust, and business impact while aligning stakeholders and reporting to executives.

The role involves leading programming teams in biometry, developing technical solutions, ensuring regulatory compliance, and driving digital transformation in clinical data analysis.