Top Artificial Intelligence Jobs in Paris

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

As a Staff/Senior AI Product Engineer, you will build AI-powered product features, enhance the tech stack, and design AI workflows while collaborating with product teams. Your focus will be on agent-native architecture and improving the codebase for AI agents.

Define and execute the product roadmap for AI-driven blockchain security monitoring tools. Collaborate with cross-functional teams, analyze market and customer feedback, deliver features on time, and communicate with stakeholders to align expectations and improve product offerings.

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.

Perform human review and annotation tasks to train and evaluate AI: generate or assess content, correct text, analyze multimedia, provide voice recordings, and deliver structured annotations consistent with guidelines and cultural context.

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-native growth hacker, you will implement a growth strategy, focusing on a specific growth wedge, leveraging AI tools, and measuring performance to scale successfully.

As an AI/ML Engineer, you will develop and optimize AI solutions for renewable energy assets, collaborating with a skilled team to deploy algorithms in real-world projects.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Partner with Account Executives to present Arize's GenAI observability platform, lead technical demos and discovery, design and run PoCs, advise on GenAI/LLM best practices, handle technical objections, and build relationships with technical and business stakeholders across prospective customers.

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.

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.

Develop and optimize large neural-network tabular models in Python. Profile training and inference pipelines, improve memory efficiency, latency, and throughput. Implement performance-critical components in Rust (and optionally C++), ensure numerical stability and reproducibility, collaborate with researchers to productionize capabilities, and maintain tests and documentation.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

As a Software Engineer at Polar Analytics, you will build core systems, manage data pipelines, and innovate solutions for eCommerce brands while engaging with users to improve reliability and performance.

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 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 and build Axelera's AI Infrastructure Systems division to deliver datacenter-class hardware from accelerator cards and OAM/UBB modules to 1U/2U racks. Own architecture, schematics, PCB/layout review, power/thermal/mechanical design, BMC/firmware, bring-up, validation, qualification, NPI, and ramp with CMs/ODMs. Align roadmaps with silicon, SDK, and product teams, engage customers and partners, set engineering processes, manage budget and vendor relationships, and mitigate technical risks through hands-on leadership.