39 AI Engineer jobs in France available for remote work from home. Apply for positions such as AI Engineer, AI Engineer, Senior AI Engineer 🇪🇺 and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will manage and optimize the self-hosted AI inference infrastructure on dedicated GPU hardware to ensure high throughput and low latency. Additionally, you will build and ship user-facing AI agents and features while maintaining the underlying platform and tooling.
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 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.
Design, implement, and operate the network infrastructure powering the GPU cloud platform, including high-performance AI fabrics and classical datacenter networking. Act as the primary networking design authority, providing architectural ownership and technical direction for global deployments.
Design, build, and operate the AI storage layer to support large-scale GPU infrastructure and distributed inference workloads. Lead architectural ownership and technical direction while executing hands-on storage performance engineering and platform integration.
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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 iteration, while collaborating with product and engineering teams. Additionally, you will extend the company's agentic AI foundation into customer-facing product experiences across the full suite.
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.
Own and scale the agent layer and matching engine for an AI-first fundraising platform. This includes building conversational agents for investor outreach and managing the backend data pipelines.
Own the conversation layer of an AI fundraising platform, managing agents that handle replies, booking, and relationship nurture. Build broader applied-AI features including classification, extraction, and the evaluation framework to ensure quality.
Drive the technical vision for AI features and lead the end-to-end delivery of agentic capabilities from design to production. Coach and mentor a growing team of AI engineers while remaining 80% hands-on with the code.
Lead the design and delivery of agentic AI systems and predictive models to transform financial decision-making. Architect scalable, production-grade AI infrastructure while establishing MLOps best practices and governance for finance workflows.
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.
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.
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You will own the reliability, performance, and observability of the entire inference stack. This includes designing telemetry pipelines, tuning Kubernetes autoscalers, and creating automation for incident management.
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.
You will act as a bridge between the Azure AI platform and client teams, managing project onboarding and early operations. Additionally, you will provide structured feedback to Platform Engineering to improve runbooks and deployment patterns.
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.
Design and deploy AI products such as copilots, conversational agents, and business assistants by integrating LLMs and RAG architectures. Responsible for transforming AI prototypes into robust, production-ready applications while providing technical guidance and benchmarking 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.
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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.
You will own, build, and scale your own startup within the AI infrastructure sector. You will also participate in a personalized development program while receiving support for hiring, fundraising, and achieving product-market fit.
You will design, implement, and scale the platform's core backend systems and data pipelines while leading end-to-end development for critical features. Additionally, you will define architectural standards for security and identity management while collaborating with cross-functional teams to shape the platform's future.
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