Ai Engineer Jobs in Paris, EEA

<p></p> <h2><strong>Concevez les solutions d’IA générative de demain au service des plus grandes institutions financières.</strong></h2> <h2><strong>Le rôle</strong></h2> <p class="isSelectedEnd">En tant que <strong>Senior Python / Agentic AI Engineer</strong>, vous rejoindrez les équipes Technology & Engineering de Capco afin de concevoir, développer et déployer des solutions d'intelligence artificielle de nouvelle génération. Vous interviendrez sur des projets stratégiques autour des Large Language Models (LLM) et des architectures Agentic AI, en développant des solutions robustes, sécurisées et industrialisées répondant aux exigences d'environnements complexes et réglementés.</p> <p class="isSelectedEnd">Vous contribuerez à l'intégration de l'IA dans les processus métiers de nos clients en appliquant les meilleures pratiques de développement logiciel et d'architecture.</p> <h2><strong>Ce que vous ferez</strong></h2> <ul data-spread="false"> <li>Concevoir et développer des applications Python industrielles intégrant des architectures Agentic AI et des Large Language Models (LLM).</li> <li>Concevoir des workflows d'agents intelligents, des mécanismes d'orchestration et des architectures de recherche de connaissances (RAG, indexation sémantique, accès aux données d'entreprise).</li> <li>Développer des services back-end robustes intégrant modèles d'IA, outils métiers, APIs et systèmes d'information existants tout en garantissant leur performance, leur observabilité et leur maintenabilité.</li> <li>Collaborer avec les équipes métiers, techniques et architecture afin de transformer les besoins fonctionnels en solutions d'IA sécurisées, évolutives et conformes aux exigences réglementaires.</li> <li>Contribuer aux choix d'architecture, aux bonnes pratiques d'ingénierie logicielle (tests, CI/CD, monitoring, gestion des prompts et des modèles) ainsi qu'à l'évolution des offres GenAI de Capco.</li> </ul> <h2><strong>Ce que nous recherchons</strong></h2> <ul data-spread="false"> <li>Minimum 5 ans d'expérience dans le développement d'applications Python en environnement Enterprise avec une solide maîtrise des principes d'ingénierie logicielle.</li> <li>Expérience démontrée dans la conception et le déploiement en production de solutions basées sur les LLM ou les architectures Agentic AI.</li> <li>Excellente maîtrise de Python, des API, des architectures distribuées, des patterns de conception et des pratiques DevOps.</li> <li>Expérience de la conception de systèmes combinant raisonnement, orchestration d'agents, accès aux connaissances, intégration d'outils et exploitation

About the team At Equativ, we're on a mission to develop advertising technologies that empower our customers to reach their digital business goals. The impact of Generative AI on the industry is projected to be major, and Equativ has been undergoing a significant transformation to embed this technology at the core of our value proposition. The GenAI team is a new, strategic unit (6–8 people) responsible for the design, development, and deployment of Equativ's entire GenAI stack. You will be joining a team of 3 developers and 2 product managers. It is split into two complementary pillars: Core Platform — designing and building a reusable, industrialized Agentic Platform (MaaS, AaaS, Model/Agent as a Service) to accelerate agent development across the company. Business Feature — the team you will be joining. We develop and deploy mission-critical AI agents that automate workflows for non-technical internal teams (operations, ad quality, marketplace, finance support, etc.). Our backlog targets people who today rely on manual processes and ad-hoc tooling, your work will give them autonomous, measurable, production-grade AI assistants. This team is part of the R&D department (200+ engineers across Paris, Nantes, Limoges, Krakow, Berlin and North America), all working in an Agile environment.

Playables AI Engineer at Voodoo. Apply via Ashby.

Introduction to the Team & Role AI is central to 360Learning's strategy: our AI Squad ships agentic features that help users discover, create, and administrate content. Over the last year, we have shipped 5+ AI features powering thousands of users monthly: Catalog Companion: An AI agent performing bulk catalog operations (sharing, archiving, tagging, author assignments) Smart Search: conversational search helping users discover the right content Conversational BI: Analytics and insights delivered through natural conversation AI Course & Question Generation: Creating questions and full courses from documents and titles Content Recommendations: Personalized content discovery We're now looking for a Lead AI Engineer to drive the technical vision for AI in 360Learning’s product and to coach our AI Engineers as the team grows. This is a hands-on leadership role: you'll set technical direction, own the hardest architectural decisions, and grow the people around you, while staying close to the code. You'll coach our team of AI Engineers (2 today, growing), and partner closely with 1 Product Manager, 1 Product Designer, and our Full-Stack Developers. You'll report directly to the Head of AI/Data.

<p>We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.</p> <p>We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.</p> <p><em>At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.</em></p> <h4> </h4> <h4>What You’ll Do:</h4> <ul> <li>Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.</li> <li>Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.</li> <li>Prototype and see what works well in the real world, iterate closely with our users, and then ship.</li> <li>Follow the latest research on LLM prompting, agents, and code editing.</li> <li>Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.</li> </ul> <h4> </h4> <h4>Who You Are:</h4> <ul> <li>You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.</li> <li>You are passionate about Generative AI and its ability to help software engineers be more productive.</li> <li>You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.</li> <li>You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.</li> <li>You want to work in a fast, high-growth startup environment that respects its engineers and customers.</li> <li>You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).</li> <li>You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.</li> <li>Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.</li> </ul> <p><em>Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology an

AI engineer at Lucis. Apply via Ashby.

L’histoire du groupe Theodo et son succès Theodo accompagne depuis 2009 les entreprises innovantes dans la conception, le développement et le déploiement de produits digitaux ingénieux - tels que la plateforme TF1+, l'application LCL Pro ou l'application France Identité Numérique - en tirant parti du meilleur de la technologie et de l’approche Lean.   Theodo connait une croissance exceptionnelle depuis 15 ans : nos équipes rassemblent plus de 700 Theodoers, principalement des Software Engineers, passionnés de technologie et d’amélioration continue.  En 2025, le groupe Theodo génère 100M€ de CA.   Créée en 2016, Theodo Data & AI est l'entité Data et IA de Theodo. Notre ambition est d'accompagner nos clients dans la conception et le déploiement de leur stratégie data ainsi que la recherche et le développement de solutions d’intelligence artificielle à l’état de l’art. L'entreprise est en pleine croissance : chaque année, Theodo Data & AI enregistre une croissance de plus de 30 % de son chiffre d'affaires, ouvrant ainsi de nouvelles opportunités passionnantes pour les Theodoers ! Le poste d’Engineering Manager IA est basé sur deux piliers majeurs : expertise technique et impact sales. Expertise technique Améliorer la qualité tech sur les projets Aider le tech lead dans les choix techniques et sur le delivery Être référent technique sur certains projets complexes Impact Sales Participe à la renommée / crédibilité de Theodo sur les sujets IA à l’extérieur S’investir dans la partie vente et avant-vente des projets IA

Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems. The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈‍⬛. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!   We're a diverse team of 250+ brilliant minds from over 35 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together! About the role: The Workflow team leverages software, AI and automation to improve the efficiency of the R&D processes of Alice & Bob. As a Senior Applied AI Engineer in this team, you will design, deliver, and maintain high-quality, scalable and robust AI-based solutions to solve complex problems encountered by R&D teams and improve their efficiency. You’ll act as an individual contributor and technical leader to key projects dealing with both simulation and real-life execution of quantum experiments. You’ll work with elite researchers and engineers across Alice & Bob. You don’t need to be a physics expert to succeed in this position. If you’re curious, motivated, and a fast learner, we’ll teach you everything you need to communicate efficiently with our scientists, and make a positive impact through your work.

<div class="content-intro"><p><strong>About Mirakl:</strong></p> <p>Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.<br><br>Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).<br><br>With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.</p> <p>For more information: <a href="http://www.mirakl.com">www.mirakl.com</a>.</p> <p><strong>Mirakl in Numbers:</strong></p> <ul> <li>🗓️ Founded in 2012 | Member of French Tech Next40</li> <li>👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo</li> <li>🇫🇷 350+ Mirakl Tech teams members mainly based in France</li> <li>⚙️ 5 Saas Solutions</li> </ul> <p><strong>Our Values:</strong></p> <p>Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.</p> <p>Our 5 values guide how we collaborate:</p> <ul> <li>💡<strong> Work Hard Together:</strong> Teamwork and collaboration are the foundation of our success</li> <li>🏆 <strong>Get Things Done: </strong> We prioritize action and efficiency for impactful results</li> <li>🚀 <strong>Go Above & Beyond:</strong>  We tackle challenges proactively and always aim for excellence</li> <li>🎓 <strong>Succeed Through Expertise:</strong> Knowledge sharing and continuous learning are core to our culture</li> <li>🤝 <strong>Satisfy & Empower Clients:</strong> We're committed to our clients' success</li> </ul></div><h2><strong>About the job</strong></h2> <p>Design, build, and scale production-grade AI systems that power the next generation of intelligent commerce.<br><br>You will work at the intersection of Software Engineering, Machine Learning, and Generative AI to build AI-native products, agentic systems, and platform capabilities used by Mirakl customers and internal teams.</p> <p>Th

<div class="content-intro"><p><strong>About Mirakl:</strong></p> <p>Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.<br><br>Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).<br><br>With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.</p> <p>For more information: <a href="http://www.mirakl.com">www.mirakl.com</a>.</p> <p><strong>Mirakl in Numbers:</strong></p> <ul> <li>🗓️ Founded in 2012 | Member of French Tech Next40</li> <li>👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo</li> <li>🇫🇷 350+ Mirakl Tech teams members mainly based in France</li> <li>⚙️ 5 Saas Solutions</li> </ul> <p><strong>Our Values:</strong></p> <p>Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.</p> <p>Our 5 values guide how we collaborate:</p> <ul> <li>💡<strong> Work Hard Together:</strong> Teamwork and collaboration are the foundation of our success</li> <li>🏆 <strong>Get Things Done: </strong> We prioritize action and efficiency for impactful results</li> <li>🚀 <strong>Go Above & Beyond:</strong>  We tackle challenges proactively and always aim for excellence</li> <li>🎓 <strong>Succeed Through Expertise:</strong> Knowledge sharing and continuous learning are core to our culture</li> <li>🤝 <strong>Satisfy & Empower Clients:</strong> We're committed to our clients' success</li> </ul></div><h2><strong>About the job</strong></h2> <p>Design, build, and scale production-grade AI systems that power the next generation of intelligent commerce.<br><br>You will work at the intersection of Software Engineering, Machine Learning, and Generative AI to build AI-native products, agentic systems, and platform capabilities used by Mirakl customers and internal teams.</p> <p>Th

AI Engineer (Vision) at Whitecircle. Apply via Ashby.

AI Engineer (Audio) at Whitecircle. Apply via Ashby.

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as Legal AI Engineer to co-build Qonto's vision of an "Augmented Legal Department" — a future where AI and humans work side by side to scale legal capacity across Europe. You'll design and ship the agents, tools, and operating model that will redefine how our Legal team works, working in close partnership with Alexia, our General Counsel at Qonto. ➡️ What you'll do Co-create the "Augmented Legal" vision for 2028/2030: You'll work side-by-side with Alexia to map Legal's workflows, identify what's agentizable, and define the target state; who does what, how, and at what scale. Build and ship production-ready AI agents: From prototyping to deployment and maintenance, you'll own the full lifecycle of agents that genuinely transform Legal's day-to-day, not just demos, but reliable tools people actually use. Design the humans + agents operating model: You'll set the governance framework; who owns which agents, quality standards, access rules, adoption rituals, and prepare the team to scale. Drive adoption across the Legal team: You'll run demos, design training, and build feedback loops so every Qontoer understands, trusts, and uses what you build. Use AI natively in how you work: From scoping to code, you'll use tools like Claude, Cursor, and whatever's next to build faster and smarter. ➡️ What we're looking for Strong software engineering fundamentals: You've shipped production software end-to-end and take ownership from problem framing to delivery. Practical AI/LLM engineering mindset: You've built agents or AI-powered systems before; you understand orchestration, evaluation, reliability, and the difference between a promising prototype and something that holds up. Product thinking: You don't wait to be handed a spec, you define the problem, shape the roadmap, and iterate based on real user feedback. High autonomy and entrepreneurial mindset: You're comfortable with ambiguity, own your decisions end-to-end, and don't need tight guardrails to do great work. Stakeholder management in cross-functional environments: You can earn the trust of legal professionals, engineers, and leadership alike — and communicate clearly across all of them. ➡️ What you'll get A co-founder-style mandate, inside a scaled company: You'll be a strategic partner shaping the direction from day one, with the resources and brand of Qonto behind you. Real ownership, real impact: The agents you build will touch every contract, every compliance check, every legal workflow at a FinTech operating across 8 European markets. A bridge to Qonto's broader Tech ecosystem: You'll have the opportunity to collaborate with AI Lab, Data, and Platform teams. Unlimited access to frontier AI tools: Claude, Cursor, and whatever ships next at Qonto. ➡️ Your future manager 🤝Your future manager will be Alexia, our General Counsel. She spent 10 years at international law firms across Paris, Tokyo, and London, focused on Corporate M&A, before joining Qonto as General Counsel to build the Legal team from scratch. She now leads a 20-person team across France, Italy, Spain, and Germany. Known for scaling legal functions and driving legal tech adoption, she'll give you real exposure to high-impact projects while supporting your development. Several of her talks are available online. At Qonto we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we've been searching for all along.

Basés en plein cœur de Paris, nous faisons bouger l’industrie des jeux en ligne. Leader du poker et des paris sportifs en France avec 350 000 joueurs et 600 000 parieurs mensuels, nous sommes présents en Espagne, en Allemagne et bientôt en Italie et au Portugal. Nous offrons à nos joueurs une expérience exceptionnelle, à la fois technique, créative et qualitative. Innovation, unité et appartenance : nos valeurs façonnent une culture d’entreprise multiculturelle et unique.   Et si tu avais un futur dans le jeu ?   Techniquement, Winamax c’est : Un moteur de jeu puissant et innovant : adaptation dynamique de l'offre de jeu, parties de poker hautement configurables, détection de fraude Une architecture distribuée et scalable conçue pour traiter en temps réel les flux de la plateforme Une plateforme modulaire soumise à des contraintes de haute disponibilité et de sécurisation des données, capable de gérer de fortes audiences A PROPOS DU POSTE   Pour accompagner le développement de Winamax sur de nombreuses problématiques liées à l’analyse de données, nous recrutons un ML /AI Engineer.   Au sein de la team Data, tu participeras activement à la recherche et au développement de modèles de machine learning et d’IA générative afin de répondre à des problématiques complexes en optimisant les processus décisionnels, en automatisant des tâches, et en concevant des solutions innovantes adaptées aux besoins des utilisateurs.   Tu seras également impliqué(e) dans l'évaluation des performances des modèles, leur déploiement en production, ainsi que la veille technologique pour rester à la pointe des avancées en intelligence artificielle.   Tu as l'occasion unique de contribuer au développement de l’équipe avec un terrain de jeu fertile en attente d’innovation et de créativité !   LES MISSIONS DU POSTE   Identifier les besoins et les problématiques métiers et proposer des solutions concrètes et pragmatiques Concevoir et maintenir des modèles de machine learning / IA générative Collaborer étroitement avec les équipes techniques et produit Effectuer une veille active sur l’ensemble des sujets ML / IA   QUELQUES EXEMPLES DE PROJETS   Conception d’un Chatbot POC d’IA générative (génération de documentation technique, veille réglementaire, RAG à usage interne ...) Analyse et modélisation de données sur différents domaines (intégrité de jeu, addiction, …)   ENVIRONNEMENT TECHNIQUE   Stockage : RDS, S3, DynamoDB, Redis, Redshift Orchestration de containers : ECS Fargate / EC2  Jobs : Lambda, Batch Workflows : AirflowML : SageMaker / ML Flow BI : Quicksight Langages : Python, Javascript (Node) Streaming : Kafka CI : Github Action Monitoring : Cloudwatch, Grafana

Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted products available for a limited time. Operating across various sectors, including fashion, home, wine, travel or beauty... Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5,000 staff members across 10 countries. 🔭 Job Description   Veepee is seeking a talented Senior AI Engineer to join its VeepeeTech team and drive the development and deployment of Generative AI solutions to enhance user experience (hyper personalization, search), sales and operational efficiencies (pricing mechanics, fraud detection, sales and media production, …)   This role will contribute to end-to-end AI projects, from requirement qualification, business stakeholder exchange, and solution formalization, to data ingestion, potential model finetuning, project delivery, production deployment, and continuous monitoring while collaborating closely with cross-functional partners (product managers, developers, architects, data scientists, DevOps)   The ideal candidate will have strong hands-on experience with NLP/LLM architectures, modern deep learning frameworks, and deploying on-premise infrastructure while leveraging cloud-based LLM services; a solid foundation in statistics and mathematics with a genuine passion for modeling and problem formulation; significant professional experience on at least one concrete project involving the use of LLMs; and a proven track record of shipping AI models to production at scale.

L’histoire du groupe Theodo et son succès Theodo accompagne depuis 2009 les entreprises innovantes dans la conception, le développement et le déploiement de produits digitaux ingénieux - tels que la plateforme TF1+, l'application LCL Pro ou l'application France Identité Numérique - en tirant parti du meilleur de la technologie et de l’approche Lean.   Theodo connait une croissance exceptionnelle depuis 15 ans : nos équipes rassemblent plus de 700 Theodoers, principalement des Software Engineers, passionnés de technologie et d’amélioration continue.  En 2025, le groupe Theodo génère 100M€ de CA.   Créée en 2016, Theodo Data & AI est l'entité Data et IA de Theodo. Notre ambition est d'accompagner nos clients dans la conception et le déploiement de leur stratégie data ainsi que la recherche et le développement de solutions d’intelligence artificielle à l’état de l’art. L'entreprise est en pleine croissance : chaque année, Theodo Data & AI enregistre une croissance de plus de 30 % de son chiffre d'affaires, ouvrant ainsi de nouvelles opportunités passionnantes pour les Theodoers ! Ton équipe : Tu rejoins une équipe pluridisciplinaire : Lead Data & AI Engineer, Data & AI Engineer et Product Manager travaillent main dans la main pour garantir l’impact de nos actions chez nos clients.   Tu interviens de façon transverse sur deux types de sujets : - Data Engineering : architecture data, pipelines, data warehouses, fiabilisation et transformation des données - IA / Data Science : modélisation prédictive, ML, computer vision, MLOps   Tes futures missions : - Concevoir et livrer des solutions Data Engineering de bout en bout sur des environnements Cloud (pipelines ETL/ELT, modélisation de données, data warehouse) - Concevoir et livrer des solutions IA / Data Science de bout en bout (R&D, entraînement, évaluation, mise en production et MLOps) - Travailler sur des sujets IA traditionnelle (prédiction, détection…) et IA générative (RAG, agents…), dans des secteurs variés (santé, fintech, retail, public…) - Produire un code de qualité, débugger efficacement et mener des investigations techniques actionnables - Participer au développement de Theodo Data & IA selon tes envies (recrutement, avant-vente, formation interne…)   Tes perspectives d’évolution : Selon tes envies et tes compétences, tu pourras : - devenir expert·e sur les sujets techniques qui te passionnent - devenir lead grâce au développement de compétences transverses (coaching, recrutement, commercial, management…) - monter une tribe ou une guilde pour développer une nouvelle offre   Une méthodologie basée sur l’apprentissage continu : Chez Theodo, nous avons construit notre approche tech autour d’une conviction forte : on développe d’abord les personnes, avant de développer les produits.   Notre Lean Tech® System met l’accent sur l’apprentissage continu : tu évolueras dans un environnement qui investit sur le long terme, où l’objectif est de te permettre de progresser chaque jour, tout en construisant des produits utiles et performants pour nos clients.   Profil recherché : - Tu es diplômé·e d’une école d’ingénieur (Bac+5), avec au moins 2 ans d’expérience professionnelle - Tu es passionné·e par l’IA, le code et la data - Tu es à l’aise en Python et curieux·se des Cloud Providers (AWS, GCP, Azure) - Tu es orienté·e création de valeur : tu t’intéresses à l’activité du client, pas seulement à la tech - Tu es pédagogue et pertinent·e en revue de code et en pair programming - Tu fais preuve d’exigence sur la qualité du code et de rigueur dans ton quotidien   Pour information : - Le poste est proposé en CDI, basé depuis nos locaux à Paris. - Le salaire proposé dépend du niveau d’expérience de chacun : nous en parlons toujours dès le premier appel téléphonique.   Déroulement des entretiens : Si ton parcours retient notre attention, voici le process qu’on te propose : - un appel téléphonique de 30 minutes avec un membre de l’équipe recrutement, pour comprendre tes critères de recherche - un entretien d’une heure avec le recruteur ou la recruteuse avec qui tu as échangé à la première étape, pour parler plus en détail de ton parcours et te présenter Theodo - un entretien de pair programming d’une heure - un entretien de simulation client sur un sujet Data d’une heure - un échange de 30 minutes avec un membre de l’équipe dirigeante   Notre process dure 1 semaine en moyenne.   Tu seras accompagné(e) par un membre de l’équipe de recrutement qui sera là pour te coacher tout au long du process.