AI Engineer
You will apply generative AI to threat research and fraud detection, including building a Gen AI stack in the cloud. You will also collaborate with other tech teams to develop and integrate AI-powered features into DataDome products.
41 AI Engineer jobs in France available for remote work from home. Apply for positions such as AI Engineer, Senior Fullstack Engineer - AI, Senior AI Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will apply generative AI to threat research and fraud detection, including building a Gen AI stack in the cloud. You will also collaborate with other tech teams to develop and integrate AI-powered features into DataDome products.
You will build production AI features end-to-end, taking them from initial concept through to deployment. This involves working across the full stack, including API design, data integration, and creating streaming interfaces for document-heavy UIs.
You will deliver end-to-end functionality across a TypeScript/React front end and a Golang backend while building products for partner integrations. Additionally, you will help shape the architecture of the platform on AWS and maintain high standards for code review and verification.
You will be responsible for turning LLM intelligence into reliable production systems by managing context engineering, memory, and agent orchestration. You will also own the evaluation and guardrails system to ensure the safety and quality of the AI product.
You will lead the architecture and development of production-grade AI agents and intelligence products to optimize payment processes. This involves setting technical direction for agentic systems, ensuring reliability, and mentoring engineers to deliver complex cross-team AI projects.
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Design, build, and operate the AI storage layer to support large-scale GPU infrastructure for distributed inference and training. Lead architectural ownership and technical direction for storage platforms across edge and core deployments.
The Staff Network Engineer will design, implement, and operate the high-performance network infrastructure powering the company's GPU cloud platform. This role involves architectural ownership of AI fabrics and datacenter networks while acting as the senior escalation point for complex networking incidents.
You will build and harden agentic loops in production, including LLM orchestration, tool calling, and error recovery. You will also own context and memory engineering while collaborating with product teams to ensure AI solutions meet real user needs.
You will design and implement AI-driven solutions, including RAG techniques and agentic systems, to enhance clinical research and drug development. You will collaborate with cross-functional teams to integrate these AI features into a scalable, production-grade platform.
You will own features end-to-end, from design through implementation and rollout, while collaborating with product and engineering teams. Additionally, you will extend agentic AI foundations into customer-facing product experiences across the company's suite.
Design and build execution primitives for AI workflows within the Kestra engine and maintain plugins for LLM providers. Ensure AI executions are observable, debuggable, and translated into reusable blueprints.
Design and industrialize generative AI solutions, including LLM architectures, RAG, and autonomous agents to transform business processes. Manage the full AI lifecycle from requirement analysis and prototyping to production deployment and performance monitoring.
The GTM Engineer will architect and scale AI-powered growth systems across sales, marketing, and product functions. They will lead the development of AI agents and workflows to automate the customer lifecycle and provide actionable growth signals.
The Principal Engineer - AI Trainer will review and refine AI-generated technical responses and code outputs, ensuring adherence to sound engineering principles and best practices. This involves assessing AI reasoning on complex engineering problems, identifying logical flaws, and drafting realistic engineering scenarios.
Develop cutting-edge GenAI solutions and own production rollouts of GenAI applications. Serve as a trusted technical advisor to customers and collaborate cross-functionally with product and engineering teams.
Develop cutting-edge GenAI solutions and own production rollouts of GenAI applications. Serve as a trusted technical advisor to customers and collaborate with product and engineering teams.
Develop cutting-edge GenAI solutions and own production rollouts of GenAI applications. Serve as a trusted technical advisor to customers and collaborate with cross-functional teams.
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You will design and implement autonomous AI agents to streamline internal processes across various departments like accounting, legal, and sales. Additionally, you will monitor agent performance, develop necessary APIs, and train internal teams on the effective use of AI technologies.
You will design and deploy machine learning systems for document understanding, classification, and recommendation to enhance product automation. You will own the full lifecycle of these solutions, from problem framing and data strategy to production monitoring and continuous improvement.
The AI Benchmark Engineer will design, build, and validate rigorous multilingual software tasks to evaluate large language models. Responsibilities include creating realistic task environments, writing deterministic verifier scripts, and performing quality assurance through a multi-layer review process.
You will own and operate the infrastructure powering sovereign AI, including Linux environments and cloud systems. You will also collaborate with research and product teams to troubleshoot incidents and ensure high availability for AI workloads.
Design and deploy AI products such as copilots and conversational agents by integrating LLMs and RAG architectures into complete applications. Conduct AI benchmarks, develop POCs/MVPs, and provide strategic AI roadmaps for clients.
The role involves designing and deploying high-impact AI Agent solutions on the Moveworks ServiceNow platform to solve complex customer business challenges. You will act as a technical bridge between customers, product management, and engineering to drive product adoption and evolution.
The role involves designing and deploying high-impact AI Agent solutions on the Moveworks ServiceNow platform to solve complex customer business challenges. It requires full-stack ownership of the delivery lifecycle and collaborating with product teams to influence the platform's evolution based on customer feedback.
The AI Software Engineer will own the development and continuous improvement of Joko AI, the AI shopping agent, by designing its architecture, building robust evaluation frameworks, and expanding its capabilities through integrations like web search and vector search. They will also tackle large-scale catalog and data challenges, leverage rich user data for personalization, and iterate on the underlying runtime and infrastructure.
The role involves spending roughly half the time in the field assisting new customers with POCs and technical onboarding, and the other half building prototypes, exploring emerging AI techniques, and translating field insights into product direction. Responsibilities include building demos across the portfolio, supporting customer validation, and feeding grounded feedback into the product roadmap.
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You will lead and execute core 0-to-1 initiatives in AI infrastructure, translating strategic vision into concrete execution roadmaps. You will architect scalable solutions and drive rapid implementation from prototype to production.
Develop and maintain Python backend services and Ruby on Rails codebases while building AI agents for advertising data. Collaborate with cross-functional teams to deliver production-ready features from design to deployment.
You will design and implement state-of-the-art AI systems for a medical conversational assistant, focusing on architecture, reliability, and user experience. Additionally, you will integrate these AI capabilities with existing healthcare services and mentor other engineers to foster a strong product culture.
Design and implement full-stack features for the Data Intelligence Platform while leveraging AI tools to accelerate development and improve code quality. Collaborate with product managers and team members to ensure stable, scalable, and maintainable production-grade solutions.
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