Top Artificial Intelligence Jobs in France

Fine-tune and post-train open-weight LLMs using methods such as SFT, LoRA, QLoRA, DPO, and GRPO. Build training data and evaluations, diagnose model failures, improve personalization and multilingual behavior, accelerate reproducible training workflows, and deploy models to production. The role involves using real user behavior to guide iterations across a large-scale AI companionship platform, with collaboration across AI, product, web, DevOps, and leadership teams.

Six-month AI/ML engineering internship focused on building remit, an agentic data science system that transforms business questions and datasets into trusted recommendations. Responsibilities include designing AI agents, implementing data-quality and leakage checks, evaluating agent reliability and cost, integrating modeling tools and tabular foundation models, and supporting Databricks, Unity Catalog, and MLflow integration. The intern will conduct research, benchmark realistic business cases, collaborate with data scientists, and help ensure safe, governed, explainable AI workflows.

Executes software engineering solutions within defined projects, applies established design standards, supports problem solving using QRQC, prepares technical documentation, adopts digitalization tools, contributes to continuous improvement and innovation, and collaborates with engineering teams. The role also provides technical guidance to junior engineers and supports budget-aware resource utilization.

Designs, builds, deploys, and supports production AI, data, and software solutions for clients. Responsibilities include writing production code, architecting systems, building data pipelines and AI workflows, implementing testing and monitoring, driving user adoption, and guiding engineers. The role also involves client engagement, technical scoping, stakeholder communication, project estimation, candidate interviewing, and development of reusable internal AI capabilities.

Evaluate AI chatbots and language models through structured written and voice interactions. Assess capabilities, safety, helpfulness, and response quality; follow assigned prompts and goals; and submit ratings, write-ups, screenshots, or recordings. This is a flexible, remote, task-based independent contractor role requiring French fluency, English communication skills, AI model experience, technical literacy, and availability to start within 48 hours.

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship end-to-end product features, set technical direction, evaluate LLM reliability and trade-offs, and accelerate validated learning through close collaboration with engineering, product, and design teams.

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship production software, establish technical direction, and partner with product and design teams to accelerate validated learning. The role requires strong backend and distributed-systems expertise, hands-on LLM product experience, and practical use of AI coding tools.

Own data pipeline workstreams and cloud data warehouse solutions; develop performant data models, ETL/ELT processes, and machine learning workflows. Implement data quality, governance, monitoring, observability, CI/CD, containerized deployments, and infrastructure-as-code practices. Partner with cross-functional teams to translate business needs into technical delivery plans, troubleshoot production issues, and improve engineering standards through documentation, reviews, and knowledge sharing.

Evaluate and improve Fin, Back Market’s AI customer care agent, by reviewing conversations, monitoring quality scorecards, identifying defects and root causes, analyzing performance across markets and use cases, and tracking corrective actions. The intern will document evaluation frameworks and provide actionable feedback to product, engineering, content, and data teams.

Join Welo Data’s Swahili contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic accuracy review. Applicants must be native or near-native Swahili speakers based in Kenya, Tanzania, or the Democratic Republic of Congo, with English proficiency, digital-tool comfort, and strong attention to detail. Projects vary in duration and compensation, with details provided before participation.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Support the International Sales Enablement team by creating training courses, learning materials, and sales collateral; simplifying processes into accessible content; coordinating training sessions; supporting ISO 9001 and cross-functional sales projects; contributing to reporting; and improving sales onboarding and development initiatives. The role involves close collaboration with international sales representatives and use of digital content, CRM, collaboration, and learning tools.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

Drives enterprise sales growth for legal and compliance software products through account planning, new customer acquisition, upselling, cross-selling, and strategic relationship management. Leads complex customer engagements, presents tailored solutions, manages sales quotas and forecasts, and collaborates with solution consultants, marketing, professional services, partnerships, and customer success teams. Requires consultative selling, enterprise account management, CRM proficiency, and strong negotiation and presentation skills.

Coordinate battlefield simulation activities for next-generation rotorcraft programs. Develop mission architectures, operational scenarios, CONOPS, system-of-systems analyses, constructive simulations, and trade studies using MBSE and tools such as Cameo and VR-Forces. Lead testing, validation, documentation, training, and collaboration with military, industrial, NATO, academic, and cross-functional partners. Help establish simulation competencies involving physics modeling, terrain, AI, geospatial data, and software integration.

Lead customer-facing Generative AI expert engagements for EMEA digital-native customers. Design and implement production-grade LLM solutions involving RAG, agents, fine-tuning, evaluation, safety, and MLOps on Databricks. Build proofs of concept, advise executives, influence product roadmaps, mentor field engineering teams, and represent the company through workshops, conferences, blogs, and technical briefings.

Lead and coach a team of Outcomes Architects responsible for workflow adoption, value realization, renewals, expansion, and at-risk account recovery. Build operating cadences, inspect customer and commercial outcomes, hire and develop team members, manage performance, and partner with Sales, Solutions Consulting, Services, Support, Product, and RevOps. Ensure strong workflow, product, AI, and customer-outcome execution across the team.

Supports execution of the R&D data-driven strategy by coordinating digital products, data capabilities, delivery roadmaps, project dependencies, risks, governance, budgets, vendors, and adoption activities. Partners with R&D stakeholders, Data & Analytics, Architecture, Integration, Security, and external teams throughout the digital product lifecycle. Helps clarify business needs, support pilots and deployments, align solutions with technology standards, and contribute to change management, innovation pilots, and continuous improvement.

Build and maintain backend services, APIs, integrations, evaluation systems, data pipelines, and development environments for AI agents. Develop automated evaluations, analyze agent traces and failures, support model integration, and improve service reliability through testing, monitoring, logging, and safe deployments. Collaborate with software engineers, researchers, model-training teams, data specialists, and product owners while writing maintainable Python code and owning scoped components through implementation and operation.

Leads GTM systems and AI strategy, including CRM and marketing automation architecture, AI agent development, vendor management, roadmap planning, KPI measurement, adoption, and change management. Manages and coaches five senior individual contributors across Salesforce, marketing, customer success systems, and web operations. Partners with commercial, data, enablement, security, and finance leaders to deliver scalable tools that improve efficiency, pipeline, conversion, and revenue.

Six-month procurement data and AI internship supporting AI solution deployment, business intelligence, data architecture, data governance, automation, and workshop-led adoption. The intern will translate procurement needs into technical solutions using Generative AI, Python, SQL, APIs, Power BI, and Google Workspace tools while documenting data flows and improving data quality. The role is based at Air Liquide’s headquarters in Paris and starts in January 2027.

The role involves performing data-related tasks supporting AI content improvement in French, including data collection, evaluation, annotation, and object tagging.

Lead Questel’s finance-focused AI transformation by identifying high-value opportunities, developing business cases, building lightweight AI prototypes and agents, measuring ROI, supporting adoption, enabling teams, monitoring approved AI tools, and maintaining reusable prompt and knowledge libraries. The role bridges business leaders, technical teams, and the central AI function while driving practical AI implementation across a decentralized international organization.

Lead AI transformation for the Sales and Go-to-Market function by identifying high-value use cases, building business cases, prototyping AI agents, measuring ROI, enabling teams, and driving adoption. The role bridges business teams with central AI governance, supports change management, maintains an approved AI tools catalogue, and develops reusable prompts and patterns. It requires strong sales operations knowledge, hands-on AI capability, consulting skills, and experience quantifying business value.

Lead Questel’s finance-focused AI transformation by identifying high-value opportunities, developing business cases, building lightweight AI prototypes and agents, measuring ROI, enabling adoption, training teams, maintaining an approved AI tools catalogue, and sharing reusable prompts and patterns. The role bridges business stakeholders and the central AI team, combining hands-on generative AI expertise with consulting, change management, and corporate finance experience.