Top Artificial Intelligence Jobs in France

Source and engage elite research scientists, software engineers, and robotics/infra talent using targeted channels (papers, GitHub, conferences). Build high-converting outreach, map markets, maintain pipelines, and operationalize scalable sourcing (Ashby, automation, enrichment). Measure response rates and pipeline health to iterate.

Full-cycle technical recruiter focused on sourcing and closing elite Research Scientists, Software Engineers, and Robotics engineers. Partner with founders and technical leaders to design searches, build scalable sourcing and screening workflows (in Ashby), run a high-quality candidate experience, and automate recruiting processes to scale hiring.

Full-cycle recruiter responsible for sourcing and closing elite Research Scientists, Software Engineers, and Robotics engineers. Partner closely with founders and technical leaders, build scalable sourcing and screening workflows (Ashby/ATS), run a fast, candidate-friendly hiring process, and use data and automation to optimize pipeline health and conversions.

Design, build, and optimize distributed PyTorch training systems for multi-node GPU clusters. Profile and eliminate performance bottlenecks across data pipelines, kernels, and networking. Implement low-level CUDA/cuDNN/Triton kernels, tune hardware-software interactions, and develop monitoring and debugging tools for large-scale training runs to maximize utilization and reduce time-to-convergence.

The role involves designing and evolving Ipsen's Data & AI platforms architecture, ensuring optimal use of the platform, and collaborating with project teams. Key responsibilities include defining architectures, promoting best practices, and contributing to the platform roadmap while aligning with stakeholders.

Write and shape Sidetrade's equity story for institutional investors: prepare earnings presentations, press releases, investor decks, analyst Q&A, roadshow materials, and investor communications in English and French. Manage investor CRM, organize meetings and shareholder events, run market and competitive research, and support CEO/CFO preparation for financial communications while using AI tools like Claude.

Drive the full AI product lifecycle, building LLM-powered workflows, defining requirements, managing product performance, and collaborating across teams.

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.

Own and scale AI enablement: build core orchestration, LLMOps/MLOps platforms and governance, integrate generative AI into product, optimize cost/latency, run PoC-to-production delivery, upskill teams, standardize tooling and vendor strategy, and track adoption/ROI metrics.

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.

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.

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

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.

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.

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.

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.

Review, evaluate, and annotate AI-generated text, images, audio, and video for quality, consistency, and guideline compliance. Perform quality checks, identify edge cases, participate in calibration activities, and provide feedback to improve datasets and annotation workflows for multilingual AI projects.

Produce high-performing AI-driven paid ads from concept to final cut using AI avatars, voiceovers, b-roll, and motion graphics. Match and iterate on existing ad styles, collaborate with copywriters, optimize for hooks/pacing/CTAs, scale volume, and stay current with AI tools to innovate creative formats.

Define product vision and strategy via market research and data analysis; build prioritized roadmaps; collaborate with PMs, designers, and engineers to launch products; communicate with stakeholders; track performance and iterate post-launch.