Top Artificial Intelligence Jobs in France

Own and operate the AI production lifecycle: deploy and orchestrate LLMs, ensure high availability and multi-provider fallback, optimize inference cost and latency, build observability (OpenTelemetry/Prometheus/Grafana), review infra PRs, and collaborate with SRE and AI engineers to maintain runtime reliability and performance.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

As an AI/ML Engineer, develop and optimize models for mobile apps, collaborate with teams, and implement AI techniques to enhance user experience.

As an AI Product Manager, you will lead AI product development, collaborate with teams, conduct market research, and ensure alignment with user needs.

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

Lead design and industrialisation of procurement processes by prototyping with generative AI, selecting appropriate technical solutions, owning KPIs and cost trade-offs, coordinating Tech and procurement teams, and enabling adoption and strategy.

The Support Engineer will enhance user experiences through quality assurance, debugging, knowledge gap closure, and supporting agent responses, ensuring minimal human intervention in AI interactions.

The role involves designing AI workflows for drug discovery, developing machine learning methods for structural modeling and optimization, and automating protocols to enhance discovery processes.

As a Solutions Engineer, you'll ensure customers achieve value from ChatGPT and OpenAI API through pre-sales support, demos, and technical advisory.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

The role involves delivering features across the CRM platform for distributors, using AI tools, handling fullstack development tasks, and collaborating closely with teams and customers.

Lead and grow an AI Enablement team to design, build, and operate internal AI tooling (agents, assistants, frameworks). Own architecture, deliver function-specific AI solutions, enforce security/responsible-AI guardrails, drive AI-assisted engineering practices, remain hands-on for critical components, and track adoption and ROI while partnering with cross-functional stakeholders.

The AI Product Manager will drive the adoption and operationalization of AI solutions, collaborating with teams to create production-ready applications and measure their impact.

Lead SRE for Edenred's Data & AI platform: define and operate SRE standards, observability, FinOps, incident and service management; co-own CI/CD and architecture; act as player-coach to improve reliability and run critical systems.

Lead the design, build, and roadmap of Edenred's Data & AI platform (Databricks/Unity Catalog). Deliver secure, scalable, observable platform primitives, enable agent interoperability, co-own CI/CD and infra-as-code, coach teams, and prevent platform fragmentation while enabling safe experimentation.

The AI Full Stack Engineer will design, develop, and maintain AI-powered web applications. Responsibilities include front-end and back-end development, API creation, and collaboration with product teams to deliver intuitive user interfaces and secure data management.

The Senior Machine Learning Engineer will design and implement AI and ML solutions, build retrieval pipelines, and develop language models to enhance patient care access and management.

The AI Research Engineer will advance robotics through reinforcement learning, designing and deploying AI agents in complex environments, collaborating with cross-functional teams.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

As a Deployed AI Engineer, you'll integrate software into systems, collaborate on customer requirements, and troubleshoot issues while showcasing AI capabilities.

The Solution Architect for Agentic AI is responsible for defining AI architecture, driving adoption of best practices, and supporting product teams in designing scalable AI solutions while ensuring alignment with enterprise architecture standards.

The role involves leading design for AI-native products at Synthesia, focusing on improving interaction patterns and enhancing user experience in AI-driven workflows.

Build and scale GPU-based simulators for reinforcement-learning agents across thousands of parallel environments. Develop training tooling, domain randomization, flight and sensing models, and sim-to-real policy transfer pipelines. Improve simulation fidelity and performance, support deployment to physical aircraft, and collaborate with AI and engineering teams on mission-focused outcomes.