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Wir suchen für einen unserer Kunden einen erfahrenen Python & Cloud Native Software Engineer. Als Senior Software Engineer übernimmst du eine zentrale technische Rolle in einem agilen Entwicklungsteam der Telekom. Neben der Entwicklung anspruchsvoller Softwarelösungen verantwortest du die technische Qualität der Umsetzung, unterstützt das Team als fachlicher Ansprechpartner und gestaltest die Softwarearchitektur aktiv mit. Du führst das Team technisch, etablierst Best Practices und sorgst durch Code Reviews, Architekturentscheidungen und Mentoring für eine nachhaltige und qualitativ hochwertige Softwareentwicklung. Dabei arbeitest du eng mit Product Ownern, Architekten und anderen Entwicklungsteams zusammen. Die Digital Solution Connectivity (DSO CNS) setzt sich aus Mitarbeitern sowohl aus dem Business als auch aus dem technischen Bereich zusammen und ist für die Konzeption, Entwicklung, den Betrieb und die kontinuierliche Weiterentwicklung digitaler Konnektivitätslösungen verantwortlich. Für das Team «RIO» suchen wir einen engagierten, eigenverantwortlichen und motivierten Senior Software Entwickler. Team «RIO» sorgt dafür, dass unsere technischen Daten, Netzressourcen und Infrastruktur zuverlässig erfasst, aufbereitet und gesteuert werden können. Es erstellt wichtige Reports (z. B. NISV-QS), unterstützt die betriebliche Kommunikation, unterstützt das Billing und orchestriert die technischen Ressourcen, damit Produkte und Services korrekt bereitgestellt werden. Zudem verantwortet Rio das Asset- und Technikraummanagement – also die Transparenz und Pflege unserer physischen Netze, Anlagen und Verkabelungen und logischen Zusammenhänge von Services Wohnsitz Schweiz, von Vorteil Raum Bern Mindestens 8 Jahre Berufserfahrung in der professionellen Softwareentwicklung Mehrjährige Erfahrung als Senior Developer, Technical Lead oder Lead Engineer Exzellente Kenntnisse in Python sowie modernen Python-Frameworks, insbesondere FastAPI Erfahrung mit FastStream und eventgetriebenen Architekturen Sehr gute Kenntnisse in der Entwicklung und dem Betrieb von Microservices Fundierte Erfahrung mit Apache Kafka Mehrjährige Erfahrung mit Kubernetes und OpenShift Sehr gute Kenntnisse im API Management sowie im Design und der Entwicklung von REST-APIs Erfahrung in der Erstellung und Bewertung von Softwarearchitekturen Nachweisbare Erfahrung in der Durchführung von Code Reviews und der Etablierung von Entwicklungsstandards Erfahrung mit Clean Architecture, Clean Code, Domain-Driven Design (DDD) und Testautomatisierung Sehr gute Kenntnisse im Umgang mit Git sowie modernen CI/CD-Prozessen Erfahrung in agilen Entwicklungsmethoden (Scrum, Kanban) Ausgeprägte Kommunikationsfähigkeit, analytisches Denkvermögen und ein hohes Qualitätsbewusstsein Sehr gute Deutsch- und gute Englischkenntnisse Erfahrung im Telekommunikationsumfeld (OSS/BSS, Netzmanagement, Provisionierung oder Service-Orchestrierung) Kenntnisse von TM Forum Open APIs, Open Digital Architecture (ODA) oder vergleichbaren Industriestandards Erfahrung mit Cloud-native-Architekturen und DevSecOps Kenntnisse im Bereich Observability (z. B. Prometheus, Grafana, OpenTelemetry) Erfahrung mit Infrastructure as Code (z. B. Terraform oder Ansible) Find Jobs in Switzerland on Arbeitnow

Über YOO Sali. Wir sind YOO, die Basler Digitalagentur. Wir entwickeln digitale Lösungen, die Prozesse vereinfachen und Teams produktiver machen. Dafür arbeiten bei uns Menschen aus unterschiedlichsten Disziplinen eng zusammen – strategisch, kreativ und technisch. Wenn du Verantwortung übernehmen und im digitalen Projektalltag etwas bewegen willst, bist du bei uns richtig. Wir suchen per sofort oder nach Vereinbarung. Aufgaben Entwicklung von Softwarelösungen für Kund:innen aus unterschiedlichsten Branchen. Effektiver Einsatz von Coding Agents, LLMs und AI APIs im Entwicklungsalltag. Anforderungen von Kund:innen verstehen und gemeinsam mit UX, Design und Projektmanagement kritisch auf Vollständigkeit, Eindeutigkeit und technische Machbarkeit prüfen. Features so spezifizieren, dass sie effizient AI-gestützt umgesetzt werden können. Aktive Mitgestaltung unserer AI-gestützten Entwicklungsprozesse (Tooling, Workflows, Guidelines), um Kundenlösungen schneller und besser umzusetzen. Qualifikation Mindestens fünf Jahre Erfahrung in der professionellen Softwareentwicklung. Fundierte Kenntnisse in Software-Architektur und Software-Design. Praktische Erfahrung im Einsatz von AI Coding Tools (z. B. Claude Code, GitHub Copilot, Cursor) sowie ein gutes Verständnis der Möglichkeiten und Grenzen von LLMs und agentic Softwareentwicklung. Erfahrung mit Git-Workflows, CI/CD und automatisiertem Testing, damit AI-generierter Code in Kundenprojekten zuverlässig abgesichert ist. Eine strukturierte, eigenverantwortliche Arbeitsweise und Freude an neuen Technologien. Erfahrung mit Microsoft Azure und cloudbasierten Architekturen sowie mit Docker oder Kubernetes ist ein Plus. Du bringst sehr gute Deutsch- (C2) und gute Englischkenntnisse (B2) mit. Benefits Work-Life Integration mit flexiblen Arbeitszeiten, Homeoffice und Workation. Ein sympathisches Team, das sich auf dich freut und dir hilft, schnell Fuss zu fassen sowie aktive Mitgestaltungsmöglichkeiten und flache Hierarchien. Förderung bei Weiterbildungen und Beteiligung am Unternehmensgewinn. Modernes Büro in Gehdistanz zum Bahnhof SBB. Unfallzusatzversicherung und attraktiver BVG-Leistungsplan. Lebendige Teamkultur mit Spiel, Sport und Spass. Find Jobs in Switzerland on Arbeitnow

Looking for a role where you can use your ML skills to redefine how an entire industry solves core problems? We have that! Zerolook ($1.9M raised in August 2026, founded by former Google Flights and Kayak execs) is changing how air travel is priced, and ML is at the core of our approach. As an early hire, you get to define the technical approach at the center of it all. Tasks Model Architecture: Design and implement high-performance, low-latency ML models for fare and itinerary estimation. Data Engineering: Build and maintain robust data pipelines to process massive volumes of historical fare and schedule data. Intelligent Routing: Develop confidence scoring systems to intelligently route traffic between ML models and current legacy stacks. Domain leadership: develop core domain expertise in the field of using ML for fare and itinerary prediction. Technical Leadership: hire, lead and mentor other engineers as the team grows. Strategic Collaboration: Partner alongside the founders with key organizations in the industry in developing the core Zerolook offering. Requirements Education: Bachelors or Masters in Computer Science or related field. Broad ML Knowledge: familiarity with the breadth of ML approaches and their relative strengths and weaknesses. Production ML Expertise: 4+ years in designing, training, and deploying ML models in production environments. Engineering Foundation: Strong software engineering skills with experience building robust, automated data pipelines. Startup DNA: Comfortable with the "0 to 1" phase-ambiguity, fast iteration, and taking extreme ownership. Bonus Requirements Travel Tech: Previous experience with OTAs, metasearch, or GDS/NDC integration is a significant plus. Large scale applications: experience building applications serving over 10K QPS at latencies on the order of 1 sec. Education: Ph.D. in Computer Science and/or educational concentration in Data Science Benefits Compensation CHF 140.000-150.000 + significant stock options If you are ready to build the infrastructure that will power the next generation of travel search, we want to hear from you. Find Jobs in Switzerland on Arbeitnow

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. 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). 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. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: 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. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success About the job Design, build, and scale production-grade AI systems that power the next generation of intelligent commerce. 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. This is a freelance position based in Paris or Bordeaux, with 1 day of remote work per week. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Senior AI Engineer to transform the way our internal teams work, and to have a significant impact on the agentic side of our Saas products. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Design & Build AI Systems Design, build, and deploy production-grade AI systems for both Mirakl internal operations. Develop solutions leveraging: LLMs, RAG, AI Agents, Multimodal AI and Evaluation frameworks. Architect complex agentic workflows including tools, memory, retrieval, planning, and guardrails. Rapidly prototype new capabilities and evolve them into scalable, reliable AI production systems. 2. Integrate Across the Stack Connect AI systems to internal platforms, business applications, and data sources across the company. Enable AI agents to interact with systems such as CRM, data platform, Drive, Jira, support tools, and internal knowledge bases. Design robust orchestration layers between models, APIs, tools, retrieval systems, and business workflows. Ensure reliability, observability, scalability, and maintainability across the entire AI stack. 3. Iterate for Impact Partner with end users, business teams, Product Managers, and Engineers to identify high-value opportunities for AI. Run pilots and experiments, gather qualitative and quantitative feedback, and measure business impact. Analyze usage patterns, failure modes, costs, latency, and performance metrics. Continuously improve accuracy, reliability, adoption, and user experience through data-driven iteration. 4. Ensure Quality, Security & Reliability Implement evaluation frameworks, guardrails, validation layers, and monitoring systems. Design AI systems that are secure, explainable, and production-ready. Ensure compliance with data security, governance, and access control requirements. Document architectures, capabilities, limitations, KPIs, and operational best practices. 5. Drive Adoption & Enablement Build a scalable ecosystem of AI systems and agents that empower both internal teams and customers. Support teams in adopting AI-powered workflows and integrating AI into their daily operations. Contribute to AI engineering standards, reusable frameworks, and best practices across the company. Act as a champion for AI-driven ways of working and help shape Mirakl's transition toward Agentic Commerce. Our stack and tools Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes What Makes You Successful Strong engineering mindset: able to design reliable and scalable systems Strong AI expertise: able to translate the latest AI capabilities into production products Strong product mindset: able to balance technical excellence with business impact Focus on measurable outcomes, not technical complexity Success Metrics Product adoption and business impact Performance and reliability of AI systems Quality of AI outputs and evaluation metrics You'll Love This Job If you have 5+ years of experience in Software Engineering, ML Engineering, Applied AI, or related fields Strong Python and software engineering fundamentals Hands-on experience building production AI systems using LLMs, RAG, and AI Agents Experience designing multi-step agentic workflows and retrieval systems Experience evaluating AI systems and improving model performance Experience deploying and operating production services in cloud environments Strong communication skills in English Curiosity, pragmatism, and passion for building AI products Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! Want to join us? Here is our process A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. An initial 1h30 technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations. As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews . Find more English Speaking Jobs in France on Arbeitnow

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. 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). 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. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: 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. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success About the job Design, build, and scale production-grade AI systems that power the next generation of intelligent commerce. 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. This is a freelance position based in Paris or Bordeaux, with 1 day of remote work per week. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Senior AI Engineer to transform the way our internal teams work, and to have a significant impact on the agentic side of our Saas products. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Design & Build AI Systems Design, build, and deploy production-grade AI systems for both Mirakl internal operations. Develop solutions leveraging: LLMs, RAG, AI Agents, Multimodal AI and Evaluation frameworks. Architect complex agentic workflows including tools, memory, retrieval, planning, and guardrails. Rapidly prototype new capabilities and evolve them into scalable, reliable AI production systems. 2. Integrate Across the Stack Connect AI systems to internal platforms, business applications, and data sources across the company. Enable AI agents to interact with systems such as CRM, data platform, Drive, Jira, support tools, and internal knowledge bases. Design robust orchestration layers between models, APIs, tools, retrieval systems, and business workflows. Ensure reliability, observability, scalability, and maintainability across the entire AI stack. 3. Iterate for Impact Partner with end users, business teams, Product Managers, and Engineers to identify high-value opportunities for AI. Run pilots and experiments, gather qualitative and quantitative feedback, and measure business impact. Analyze usage patterns, failure modes, costs, latency, and performance metrics. Continuously improve accuracy, reliability, adoption, and user experience through data-driven iteration. 4. Ensure Quality, Security & Reliability Implement evaluation frameworks, guardrails, validation layers, and monitoring systems. Design AI systems that are secure, explainable, and production-ready. Ensure compliance with data security, governance, and access control requirements. Document architectures, capabilities, limitations, KPIs, and operational best practices. 5. Drive Adoption & Enablement Build a scalable ecosystem of AI systems and agents that empower both internal teams and customers. Support teams in adopting AI-powered workflows and integrating AI into their daily operations. Contribute to AI engineering standards, reusable frameworks, and best practices across the company. Act as a champion for AI-driven ways of working and help shape Mirakl's transition toward Agentic Commerce. Our stack and tools Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes What Makes You Successful Strong engineering mindset: able to design reliable and scalable systems Strong AI expertise: able to translate the latest AI capabilities into production products Strong product mindset: able to balance technical excellence with business impact Focus on measurable outcomes, not technical complexity Success Metrics Product adoption and business impact Performance and reliability of AI systems Quality of AI outputs and evaluation metrics You'll Love This Job If you have 5+ years of experience in Software Engineering, ML Engineering, Applied AI, or related fields Strong Python and software engineering fundamentals Hands-on experience building production AI systems using LLMs, RAG, and AI Agents Experience designing multi-step agentic workflows and retrieval systems Experience evaluating AI systems and improving model performance Experience deploying and operating production services in cloud environments Strong communication skills in English Curiosity, pragmatism, and passion for building AI products Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! Want to join us? Here is our process A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. An initial 1h30 technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations. As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews . Find Jobs in France on Arbeitnow

We are looking for a Python Senior Software Engineer to join Platform team. As a Senior Software Engineer, your mission will be to work on designing and delivering essential components that empower Doctolib teams to build robust and scalable services. You will be working in a feature team developing the chassis, archetypes, business-agnostic services, cross-cutting concerns and Claude Plugins. You will be working in a platform feature team developing the Python and Java/Kotlin chassis, project archetypes, business-agnostic services, cross-cutting concerns (resilience, security, observability…) and Claude Plugins, used by more than 60 services across Doctolib. Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams. Your responsibilities include but are not limited to: Collaborate with product managers, designers, and other engineers to define and implement features to improve the Doctolib platform Take a leading role within the team and contribute to establishing a technical vision that ensures the performance, security, and usability of the platform, taking into account the future needs and the high scalability needs Bring your expertise and experiences to help us continuously improve the way we implement, test, and monitor high-quality features Improving the performance of key features implemented in Python, sometimes completely challenging the status quo Taking leadership on delivering roadmap items (together with the team) Contributing to establishing a technical vision and co-drive the creation of the roadmap for next quarters About our tech environment Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here ! Who you are Before you read on, if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You are proactive, curious, collaborative and eager to learn You are primarily a backend engineer with expert knowledge of Python You have a solid understanding of web technologies and software development life cycle You have a "user first" mindset and want to build a product focused on bringing value to its users, through secure, well-tested and pragmatic code You are fluent in English Now it would be fantastic if you have experience with Kafka and Kubernetes have experience with ADK and ML libraries have experience with Java or Kotlin What we offer Free comprehensive health insurance for you and your children Parent Care Program: additional leave on top of the legal parental leave Free mental health and coaching services through our partner Moka.care For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support Work from abroad for up to 10 days per year thanks to our flexibility days policy Up to 14 days of RTT A subsidy from the work council to refund part of the membership to a sport club or a creative class Lunch voucher with Swile card The interview process Recruiter Interview Feature Building Interview System Design Interview Behavioral Interview At least one reference check Job details Permanent position Full Time Location: Levallois Hybrid work setup (up to 2 remote days per week) Start date: As soon as possible If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles ! At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights. Find Jobs in France on Arbeitnow

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. 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). 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. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: 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. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success About the job Design, build, and scale production-grade AI systems that power the next generation of intelligent commerce. 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. This is a freelance position based in Paris or Bordeaux, with 1 day of remote work per week. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Senior AI Engineer to transform the way our internal teams work, and to have a significant impact on the agentic side of our Saas products. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Design & Build AI Systems Design, build, and deploy production-grade AI systems for both Mirakl internal operations. Develop solutions leveraging: LLMs, RAG, AI Agents, Multimodal AI and Evaluation frameworks. Architect complex agentic workflows including tools, memory, retrieval, planning, and guardrails. Rapidly prototype new capabilities and evolve them into scalable, reliable AI production systems. 2. Integrate Across the Stack Connect AI systems to internal platforms, business applications, and data sources across the company. Enable AI agents to interact with systems such as CRM, data platform, Drive, Jira, support tools, and internal knowledge bases. Design robust orchestration layers between models, APIs, tools, retrieval systems, and business workflows. Ensure reliability, observability, scalability, and maintainability across the entire AI stack. 3. Iterate for Impact Partner with end users, business teams, Product Managers, and Engineers to identify high-value opportunities for AI. Run pilots and experiments, gather qualitative and quantitative feedback, and measure business impact. Analyze usage patterns, failure modes, costs, latency, and performance metrics. Continuously improve accuracy, reliability, adoption, and user experience through data-driven iteration. 4. Ensure Quality, Security & Reliability Implement evaluation frameworks, guardrails, validation layers, and monitoring systems. Design AI systems that are secure, explainable, and production-ready. Ensure compliance with data security, governance, and access control requirements. Document architectures, capabilities, limitations, KPIs, and operational best practices. 5. Drive Adoption & Enablement Build a scalable ecosystem of AI systems and agents that empower both internal teams and customers. Support teams in adopting AI-powered workflows and integrating AI into their daily operations. Contribute to AI engineering standards, reusable frameworks, and best practices across the company. Act as a champion for AI-driven ways of working and help shape Mirakl's transition toward Agentic Commerce. Our stack and tools Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes What Makes You Successful Strong engineering mindset: able to design reliable and scalable systems Strong AI expertise: able to translate the latest AI capabilities into production products Strong product mindset: able to balance technical excellence with business impact Focus on measurable outcomes, not technical complexity Success Metrics Product adoption and business impact Performance and reliability of AI systems Quality of AI outputs and evaluation metrics You'll Love This Job If you have 5+ years of experience in Software Engineering, ML Engineering, Applied AI, or related fields Strong Python and software engineering fundamentals Hands-on experience building production AI systems using LLMs, RAG, and AI Agents Experience designing multi-step agentic workflows and retrieval systems Experience evaluating AI systems and improving model performance Experience deploying and operating production services in cloud environments Strong communication skills in English Curiosity, pragmatism, and passion for building AI products Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! Want to join us? Here is our process A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. An initial 1h30 technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations. As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews . Find more English Speaking Jobs in France on Arbeitnow

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. 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). 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. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: 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. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success About the job Design, build, and scale production-grade AI systems that power the next generation of intelligent commerce. 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. This is a freelance position based in Paris or Bordeaux, with 1 day of remote work per week. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Senior AI Engineer to transform the way our internal teams work, and to have a significant impact on the agentic side of our Saas products. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Design & Build AI Systems Design, build, and deploy production-grade AI systems for both Mirakl internal operations. Develop solutions leveraging: LLMs, RAG, AI Agents, Multimodal AI and Evaluation frameworks. Architect complex agentic workflows including tools, memory, retrieval, planning, and guardrails. Rapidly prototype new capabilities and evolve them into scalable, reliable AI production systems. 2. Integrate Across the Stack Connect AI systems to internal platforms, business applications, and data sources across the company. Enable AI agents to interact with systems such as CRM, data platform, Drive, Jira, support tools, and internal knowledge bases. Design robust orchestration layers between models, APIs, tools, retrieval systems, and business workflows. Ensure reliability, observability, scalability, and maintainability across the entire AI stack. 3. Iterate for Impact Partner with end users, business teams, Product Managers, and Engineers to identify high-value opportunities for AI. Run pilots and experiments, gather qualitative and quantitative feedback, and measure business impact. Analyze usage patterns, failure modes, costs, latency, and performance metrics. Continuously improve accuracy, reliability, adoption, and user experience through data-driven iteration. 4. Ensure Quality, Security & Reliability Implement evaluation frameworks, guardrails, validation layers, and monitoring systems. Design AI systems that are secure, explainable, and production-ready. Ensure compliance with data security, governance, and access control requirements. Document architectures, capabilities, limitations, KPIs, and operational best practices. 5. Drive Adoption & Enablement Build a scalable ecosystem of AI systems and agents that empower both internal teams and customers. Support teams in adopting AI-powered workflows and integrating AI into their daily operations. Contribute to AI engineering standards, reusable frameworks, and best practices across the company. Act as a champion for AI-driven ways of working and help shape Mirakl's transition toward Agentic Commerce. Our stack and tools Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes What Makes You Successful Strong engineering mindset: able to design reliable and scalable systems Strong AI expertise: able to translate the latest AI capabilities into production products Strong product mindset: able to balance technical excellence with business impact Focus on measurable outcomes, not technical complexity Success Metrics Product adoption and business impact Performance and reliability of AI systems Quality of AI outputs and evaluation metrics You'll Love This Job If you have 5+ years of experience in Software Engineering, ML Engineering, Applied AI, or related fields Strong Python and software engineering fundamentals Hands-on experience building production AI systems using LLMs, RAG, and AI Agents Experience designing multi-step agentic workflows and retrieval systems Experience evaluating AI systems and improving model performance Experience deploying and operating production services in cloud environments Strong communication skills in English Curiosity, pragmatism, and passion for building AI products Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! Want to join us? Here is our process A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. An initial 1h30 technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations. As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews . Find Jobs in France on Arbeitnow

Location: Hybrid (NYC) - Remote (United States) Compensation: $149K - $185K Our client is a high-growth technology organization building an advanced AI platform designed for enterprise operations and value creation in an AI-native world. Founded by experienced leaders in applied AI and mission-critical infrastructure, the organization leverages a proven track record of developing leading risk management and financial infrastructure that has processed trillions in volume. Backed by top-tier venture capital firms with over $65 million in funding, the company maintains an agile, elite team focused on solving technically ambitious problems. Operating with a culture centered on high-agency, talent-dense individual contributors, our client emphasizes high autonomy, meaningful ownership, and strong judgment over hierarchy. They are seeking a Forward Deployed Engineer to own the technical customer journey and turn complex enterprise challenges into high-value, production-grade AI solutions. In this high-impact role, the successful candidate will bridge technical strategy and customer execution—partnering closely with product, sales, and engineering leaders to guide strategic clients from technical discovery through implementation, production rollout, adoption, and scaling. Key Responsibilities End-to-End AI Deployments: Own strategic client engagements throughout the lifecycle, including technical discovery, scoping, architecture design, hands-on implementation, evaluation, production rollout, and long-term adoption. Pre-Sales & Solution Architecture: Partner with the commercial team during pre-sales phases to lead technical discovery, design tailored AI solutions, and perform validation for high-value customer opportunities. Post-Sales Technical Execution: Drive post-sales success by building and integrating production AI systems that transition clients from initial concept into full production environments. Production AI Systems Engineering: Develop scalable AI applications utilizing modern large language models (LLMs), model APIs, tool calling, retrieval-augmented generation (RAG), context management, structured outputs, and agentic workflows. Product Optimization & Feedback Loops: Translate recurring customer insights into product enhancements—identifying cross-deployment patterns and developing reusable components, playbooks, tooling, and core product features. Proactive Problem Solving: Identify operational and technical opportunities, formulate strong architectural points of view, and execute without requiring rigid direction. Requirements Basic Qualifications Experience: 5+ years of experience as a Forward Deployed Engineer, Solutions Engineer, Sales Engineer, Founding Engineer, or Product Engineer with significant end-to-end customer ownership. Execution Track Record: Proven history of taking ambiguous client challenges from initial discovery through to production deployment and measurable business impact. Technical & Commercial Judgment: Strong ability to evaluate trade-offs across client needs, product features, engineering complexity, cost, and latency. Core Technical Stack: Proficiency with Python and/or Rust, React/TypeScript, SQL, APIs, system integrations, authentication protocols, cloud infrastructure, and production observability. AI & LLM Expertise: Hands-on experience building AI-powered applications, including working with model APIs, context management, tool integration, retrieval architectures, model evaluation, and performance optimization. Location & Work Style: Based in the United States or Europe for remote arrangements (NYC-based candidates will work in-office 2–3 days per week). High agency and comfort operating autonomously in fast-paced, ambiguous environments. Preferred Qualifications Travel Flexibility: Ability to travel up to 30% annually for in-person team collaboration and client engagements. Communication: Exceptional written and verbal English communication skills, with the ability to articulate complex technical architecture to both technical and executive audiences. Performance Tuning: Familiarity with profiling tools, optimization techniques, and low-latency system design. Benefits Competitive Total Compensation: Base salary range of $149,000 – $185,000 , plus a competitive equity package aligned with performance and growth. Career Advancement: Opportunity to play a foundational role within a rapidly growing global technology organization. Workplace Flexibility: Remote options (US/Europe) or hybrid flexibility in New York City. Interview Process Initial Screening: Introductory conversation to align on background, experience, and role expectations. Technical & Architectural Evaluation: Deep dive into software engineering fundamentals, AI systems architecture, and system design. Behavioral & Scenario-Based Review: Practical discussion focused on client facing scenarios, technical trade-offs, and forward-deployed problem-solving. Final Leadership Alignment: Conversations with key leadership stakeholders across Product, Sales, and Engineering. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing ----- Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting ----- Find more English Speaking Jobs in France on Arbeitnow

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Based in France, the France Account Executive will be responsible for growing Planets Government sales pipeline and book of business in the Ministère des Armées and the Armées Françaises. The ideal candidate for this position is a driven, independent thinker, who can also be creative in finding new and dynamic ways to expand Planet's government business. This person will have a proven track record of selling in government and defense, with an extensive network and able to navigate procurement processes and frameworks. They will identify, qualify, negotiate, and close large and medium-size deals and drive sales revenue targets. Most likely, the ideal candidate will have a strong understanding of Military Operations and Intelligence as well as designing, forming and selling complex solutions to government customers. This role involves developing an extensive pipeline of new sales leads, providing product and sales demonstrations to prospective customers, and formulating appropriate business. To support this, the France D&I Account Executive should have the ability to forecast accurately when managing the incoming pipeline of opportunities. The need to source, sell, co-sell, and close deals means that the ideal candidate should be familiar with the concepts of solution selling, carrying quota and closing. Above all else, we want our potential Government Sales Executive to enjoy our unique value proposition and join us in Planet's mission to see change and change the world. This is a full-time, remote position based in France. If located near an office, you are expected to work from that office 3 days per week. Impact You'll Own: Work to develop the sales pipeline needed to achieve or exceed your sales targets and goals Work in close collaboration with the Global D&I Sales team and Leadership Work with Planet's marketing team to run campaigns to attract and identify new opportunities Prospect and develop business relationships, close sales, and manage customer expectations as the company grows Collaborate with the wider Commercial team (for example Customer Success) to foster and grow customer relationships Engage qualified prospects and take them through the journey of identifying a fit for Planet solutions and negotiating through agreement/contract/procurement obstacles to achieve an ultimate win Manage the contracting and Government procurement process Work closely with Solution Engineering staff to design a solution that answers customer needs and work in a cohesive manner to achieve technical validation that underpins a successful sale Work closely with our post sales organization and customer success team to ensure a successful onboarding for new customers Work strategically to develop the adequate sales pipeline needed to achieve or exceed your sales targets and goals Maintain an extensive level of pipeline hygiene using Salesforce.com Collaborate and innovate as needed to create customer-facing presentations and proposals unique to the prospect and situation What You Bring: Bachelor's Degree or commensurate professional experience 6+ years of related experience in software solutions and SaaS required along with a track record of success 6+ years' experience selling to government customers including understanding the nuances of Government sales cycles and how to navigate through the process Success finding and winning business with Government customers; in particular the Ministère des Armées and the Armées Françaises Deep understanding of military operations and planning and the role of intelligence supporting military Commanders that could include Planet's services. Excellent relationships across Ministère des Armées and the Armées Françaises and Agencies and the partner ecosystem Ability to satisfy French Nationality and other requirements to hold a Security Clearance Excellent communication skills and fluent/native French speaker Self-starter, able to work independently under tight deadlines in start-up environment Excellent judgment and decision-making skills Negotiation and persuasion skills Critical thinking and creative problem-solving skills Experience with Salesforce.com or a similar CRM System What Makes You Stand Out: Ability to speak other languages Existing Security Clearance at suitable level for engaging all levels of Command Active Armed Forces Reserve or veteran as a relevant intelligence professional Application Deadline: 11:45p / 23:45 CET on the date stated below. Applications are reviewed on a rolling basis. This posting may be removed earlier than projected if a suitable pool of applications has been received. For this reason, we recommend applying as soon as you are able to. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Paid time off including vacation, holidays and company-wide days off Employee Wellness Program Home Office Reimbursement Monthly Phone and Internet Reimbursement Tuition Reimbursement and access to LinkedIn Learning Equity Volunteering Paid Time Off Compensation: The expected starting gross salary range for this role is listed below. Individual placement within this range is determined objectively based on gender-neutral criteria such as your skills, qualifications, and professional experience. This position may also be eligible for discretionary bonuses, and/or equity. In addition to the salary range listed below, this role is also eligible to receive commission. #LI-REMOTE France Salary Range €60.700 — €75.850 EUR San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to ----- or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy : By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants , and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe , and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process : Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy : Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions . If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact ----- with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application. Find more English Speaking Jobs in France on Arbeitnow

About Nabla Nabla delivers a unified clinical AI platform used by healthcare organizations across specialties and care settings. The platform includes: Ambient AI documentation that captures clinical conversations and generates structured notes. AI-powered dictation and clinical workflow tools embedded directly within EHR systems. Agentic AI capabilities that support multi-step clinical and administrative tasks. Enterprise-grade infrastructure built for secure deployment across health systems. Early Careers: Software Engineering & Machine Learning We're looking for early-career engineers who want to learn fast, work with experienced mentors, and make a real impact from day one. You'll join a collaborative, mission-driven team where technical curiosity and humility matter as much as skill. Location: Paris (Hybrid) Start Date: 2027 (or as early as possible) Commitment: Internship-to-hire What we Offer Real Impact from Day One: You won't be stuck with small tasks: you'll contribute to real features and products. Learning Everywhere: We believe in mentorship, pair programming, and leveling up together. Lean, Ambitious Team: Be part of a fast-moving, deeply technical culture where your contributions matter. Healthcare Mission: Help doctors, nurses, and care teams spend more time with Patients Career Launchpad: Many interns convert to full-time, and early engineers grow quickly. We work across multiple domains: Apps: Web app, frontend logic, UI/UX Platform: Backend services, infrastructure, APIs Core (ML): Algorithms, models, data systems Your DNA Currently pursuing or recently graduated in Computer Science, Engineering, Applied Math, or a related field . Comfortable coding in at least one: Java, Kotlin, Python, or TypeScript . Passionate about AI, data, or building meaningful product features. Curious, collaborative, and excited to learn. Humble and resilient — you ask questions, take feedback, and grow. Nice-to-Haves (but not required) Internship or personal projects in AI, full-stack, or backend systems. Experience with React, GraphQL, or cloud infrastructure. Knowledge of CI/CD, Docker, or automated testing. You'll see us on campus at: Télécom Paris Forum Trium ENSIMAG CentraleSupélec École Polytechnique EPFL Forum Organisation Meet us there and tell us what excites you. Life at Nabla When you join Nabla, you join a team that is driven by excellence, curiousity, and kindness. Together, we're committed to making clinicians' lives easier and improving healthcare experiences for everyone. We believe clinicians should be able to focus on what they were trained to do, caring for their patients, and that no patient should feel their visit was rushed. We work hard and make time to have fun, too. Our #nablabla channel is just as active as #feature-show-off . We support well-being with workday activities at least three times a week; choose from yoga, running, Pilates, or HIIT. We also host regular off-sites, meet up across New York, Paris, San Francisco, and other cities, and keep the chocolate and nuts well stocked. If this sounds like an environment where you'll thrive, we look forward to reading your application. Our Values at Nabla Joining Nabla means being part of a team that shares a commitment to excellence, humility, growth, and inclusion. Every day is a new chance to excel We aim for nothing less than the best and are willing to put in the effort and dedication required to exceed standards. We learn from yesterday's failures and do better every day. Stay humble There's no place for ego in our team. Our collective success is more important than individual achievements. We see humility as wisdom — keeping focus on the bigger picture. Feedback is a gift We embrace feedback and foster a culture of trust and respect that helps everyone grow. We communicate openly about both achievements and challenges, and we actively involve each other in finding solutions. Committed to diversity We recognize the ongoing challenge of diversity in tech. Our responsibility starts with fostering an inclusive environment where everyone feels empowered to be their authentic selves and do their best work. Diversity & Inclusion Diversity and inclusivity are fundamental values at Nabla. We embrace individuals from various backgrounds, including race, gender, educational history, sexual orientation, and beyond. As an equal opportunity employer, we actively seek out and welcome applicants from diverse backgrounds, believing that a wide range of perspectives enriches our team and enhances our ability to innovate and thrive. Avoid recruitment scams: Stay safe and informed There is an active employment and financial scam which uses Nabla to collect personal information. If you're contacted by a Nabla recruiter, please ensure they are utilizing a nabla.com email address. We will never ask for the exchange of any money or credit card details during the recruitment process. Nabla utilizes a hiring platform for all applications; please be aware of any suspicious email activity. You can find more information following this link . Nabla does not accept unsolicited CVs from recruiters or employment agencies in response to the Nabla Careers page or a Nabla social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Nabla. Find Jobs in France on Arbeitnow

The role You will help the Firefox DOM Core team improve the health of the Session History area. You will write tests to improve the coverage; you will fix tests and/or problems to improve the Gecko correctness. Responsibilities Write Web-Platform tests to improve the coverage, and Gecko mochitests as needed Fix the problems and pass the tests to improve the Gecko correctness Work through code review with the relevant Gecko module owners and iterate to landing Definition of done Improved Session History test coverage and code correctness in Gecko, measured by passed test cases, allowing the team's senior engineers to focus on security, performance and strategic projects. Required qualifications Substantial experience in a browser-engine codebase or in automating for a browser-engine, ideally Firefox/Gecko. Solid Javascript and applying that language skill to write automated tests. Proficiency in and experience developing software in C++. Strong debugging skills in a mature larget codebase. Comfort working in the open: public bugs, code review, and upstream landing. Preferred Prior contributions to Gecko or another major browser engine. Familiarity with web standards and Web Platform Tests. Find Jobs in France on Arbeitnow