Full Stack Developer AI Solutions (m/w/d)

Platform Engineer (m/f/d)

charles

PLATFORM ENGINEER (M/W/D) PERMANENT EMPLOYEE, FULL-TIME · BERLIN (HYBRID)  THE IMPACT YOU WILL MAKE From socks, and petfood, to cosmetics, charles is helping countless brands reach their loyal customers every day, one conversation at a time. As a Platform Engineer at charles, you’ll help drive our product and infrastructure forward, enabling us to revolutionize conversational commerce. You’re a generalist with a passion for infrastructure and operations. You’ll work closely with the other Engineers to build scalable, high-performing systems, while improving system architecture, resolving tech debt, and ensuring seamless user experiences. Your contributions will result in reliable, data-driven solutions that support millions of users and push the boundaries of messaging-driven commerce. THIS IS WHAT YOU WILL BE DOING You'll build and operate our internal developer platform: the core services, APIs, and infrastructure that every product team builds on top of. That means writing software, not just configuring it, and standing up infrastructure that holds up under real production load. * You will be a part of a team that designs, develops, and operates the core services, APIs, and infrastructure that every product team builds on top of. Examples: building a billing API, maintaining Kubernetes operators, building an authentication broker, optimizing performance in our core monolith, and improving security in our link shortening service. * You will regularly partner with product teams to investigate issues, learn their use cases, and ship platform changes that hold up in production. * You'll join our on-call rotation as part of our "you build it, you run it" philosophy. * You'll have real room to drive cost and reliability initiatives that have measurable, company-wide impact. * You'll build the automations that make our whole software development lifecycle faster and more robust. YOU'LL FIT GREAT WITH THESE SKILLS AND VALUES * 3+ years of software engineering experience. You're a generalist - comfortable moving between writing a service, debugging infrastructure, and improving a pipeline in the same week. * You can build and ship production services in Go or TypeScript; not just scripts and glue. You also know Bash and have the judgment to pick the right tool instead of forcing your favorite one. * You can build and operate cloud infrastructure that survives real production workloads, ideally on GCP. * You've worked with GitHub Actions or similar CI/CD tools, and you know what a healthy and efficient pipeline looks like. * You have a solid grasp of scalable system design, distributed systems, cloud technologies, and how to roll out infrastructure changes. * You're comfortable with remote work and asynchronous communication. You also know that good collaboration needs visibility and cooperation, not just output. * You use AI tools effectively without handing over the steering wheel. * Product and business sense: you understand customer needs and focus on solving the right problems, not just building technically interesting solutions. * You're a self-directed learner. You don't need to know our whole stack on day one, but when you hit something unfamiliar, you dig in, ask good questions, and follow through. We'll give you room and context to grow; you bring the drive. Meeting all requirements is not necessary to apply. We encourage candidates who meet some but not all of these qualifications to submit their application. THINGS WE OFFER * Working on challenging and impactful projects at the forefront of one of the most innovative industries in Europe * Collaborating with some of the leading experts in Conversational Commerce and disrupting a fast-growing industry * Joining forces with a unique community of Tech, Product, Sales, Success, and Marketing experts committed to building the best product in Conversational Commerce. * High autonomy and visibility across the business with the option to own and drive new initiatives * Celebrating our major and micro-wins as well as getting to know each other better at regular team-building events * Sharing VSOP (virtual stock options) in the ownership and success of Charles * Working in a vibrant office in the heart of Berlin overlooking the Wall memorial * Flexible working model: Hybrid setup with remote work options and flexible hours * Earning a competitive compensation package What else we offer? * Urban Sports Club membership * Mental Health support through OpenUp * Free company lunch on Thursdays * A friendly, open, multicultural work environment * Dog-friendly office * Discounts on BVG tickets About us It’s better to have a conversation charles is a conversational AI and CRM for consumer brands that attracts, converts, services, and retains customers via AI agents, marketing automations, bulk campaigns, or an inbox for human agents. We help brands to maximize customer engagement and revenue through conversational channels such as WhatsApp. Businesses can reach customers in an interactive way, collect data to expand customer understanding and guide them to targeted offers that convert. charles’ AI Agents deliver hyperpersonalized experiences at scale while ensuring enterprise-grade security and GDPR compliance. Founded by Kapten & Son co-founder, Artjem Weissbeck, and ex-McKinsey ecommerce lead, Andreas Tussing. charles is backed by Salesforce Ventures, Accel and HV Capital and has raised over EUR 30 million to build the global leader in conversational marketing SaaS for global consumer brands. Charles and diversity: be yourself and no-one else Different perspectives bring innovation and richer work environments. We’re committed to building an inclusive company where you always feel like you belong, whatever your age, gender identity, ethnicity, religion, sexual orientation, disability, status or neurodiversity. These values sit at the heart of our hiring process, so we can create a welcoming workplace where everyone feels valued and heard.

AI-driven Full Stack Developer – Public & Private Cloud (m/w/d)

Implico

DEINE AUFGABEN Deine Mission   Als AI-driven Full Stack Developer – Public & Private Cloud entwickelst du End-to-End-Softwarelösungen über beide Cloud-Tracks hinweg: von SAP-basierten Private-Cloud-Produkten bis hin zu cloud-nativen Public-Cloud-Applikationen auf SAP BTP.  Du nutzt AI systematisch als Entwicklungswerkzeug – von AI Pair-Programming über automatisierte Codegenerierung bis hin zur Integration agentischer Workflows. Du arbeitest nicht neben AI, sondern mit AI als integraler Bestandteil deines Entwicklungsprozesses.  Du verbindest Frontend- und Backend-Kompetenz mit einem tiefen Verständnis für moderne Cloud-Architekturen, UX-Design-Prinzipien und Quality Engineering – und spielst eine zentrale Rolle bei der technologischen Differenzierung unserer Produkte.    Deine Verantwortung  Full Stack Development  * Entwicklung von Frontend- und Backend-Komponenten für SaaS-Produkte * Implementierungresponsiver,performanterUI-Systeme undskalierbarerAPI-Services * Umsetzung von Clean-Core-Prinzipien und API-first-Ansätzen * Sicherstellung von Code-Qualität durch AI-gestützte Reviews, automatisierte Tests und ATC-Standards   AI-Native Entwicklung  * Einsatz von AI Pair-Programming und Code-Generierung im täglichen Entwicklungsprozess * Integration von AI-Agenten in den SDLC (z. B. automatisierte Test-Generierung, Release-Validierung) * Nutzungvon AI-Tools für Requirements-Analyse, Dokumentationund Code-Optimierung * Enge Zusammenarbeit mit dem AI Engineer zur kontinuierlichen Verbesserung der AI-Toolchain   Dual-Track Cloud-Entwicklung  * Private Cloud: Weiterentwicklung bestehender SAP-Produkte (ABAP OO, Clean Core) * Public Cloud: Aufbau cloud-nativer Applikationen auf SAP BTP (CAP, Fiori) * Sicherstellung konsistenter Architektur muster und Design-GovernanceüberbeideTracks * Berücksichtigung von Multi-Tenancy, Skalierbarkeit und Cloud-Kosteneffizienz   UX & Interaction Design  * Verantwortung für User-Experience-Strategie und Design-System-Konsistenz innerhalb des PODs * Gestaltung AI-gestützter Interaktionsmuster und agentischer UX-Workflows * Erstellung und Verfeinerung von Fiori-Wireframes und UI-Komponenten mit AI-Agent-Unterstützung * Sicherstellung von Usability, Accessibility und UX-Kohärenz über Produktlinien hinweg   Quality Engineering & DevOps  * End-to-End-Verantwortung für Qualität innerhalb des Development PODs * Definition derTeststrategie,Orchestrierung AI-generierter Testsuiten und Validierung von Randfällen * Aktive Mitgestaltung von CI/CD-Pipelines und automatisierten Deployment-Prozessen * Implementierungvon Shift-Left-Quality-Gates und automatisierten Regressionstests * Erstellung technischer Dokumentation (SDD/TDD) mit AI-Unterstützung   Organisatorische Einordnung  * Embedded in einem Public Cloud Development POD (AI-nativ,schlankeStruktur) * Enge Zusammenarbeitmit: * Technical Architect * Senior AI Engineer * Solution Architect * Product Owner / Product Management * Platform & Release Management * Keine disziplinarische Führungsverantwortung DEIN PROFIL * Mehrjährige Erfahrung in der Full-Stack-Entwicklung moderner Web-Applikationen * Erfahrung mit SAP-Technologien (ABAP OO, SAP BTP, CAP, Fiori/UI5) oder starke Bereitschaft zur Einarbeitung * Praktische Erfahrung mit AI-gestützten Entwicklungstools (z. B. GitHub Copilot, Claude, Cursor) * Fundierte Kenntnisse in modernen Frontend-Frameworks und Backend-Technologien * Verständnis von Cloud-nativen Architekturen, CI/CD und DevOps-Prinzipien * Ausgeprägtes UX-Bewusstsein und Erfahrung mit nutzerzentrierten Designprozessen * Vertrautheit mit Test-Automation-Frameworks und Quality-Engineering-Praktiken * Erfahrung mit Clean-Core-Entwicklung und API-first-Ansätzen von Vorteil * Hohe Eigeninitiative,Lernbereitschaft und Teamfähigkeit in einem agilen Umfeld Warum diese Rolle wichtig ist   Du bist die Brücke zwischen unserer bestehenden Private-Cloud-Welt und dem Aufbau einer cloud-nativen Zukunft auf SAP BTP.  Als eines der ersten Mitglieder unseres Public Cloud PODs vereinst du Entwicklung, Design und Qualität in einer einzigen, AI-gestützten Rolle – und beweist damit, dass ein schlankes, hochkompetentes Team die Leistung eines traditionellen Teams um ein Vielfaches übertreffen kann.  Durch den konsequenten Einsatz von AI im Entwicklungsprozess steigerst du Produktivität, Code-Qualität und Innovationsgeschwindigkeit – und trägst entscheidend dazu bei, Implico als AI-native Engineering-Organisation zu positionieren. WARUM WIR? * Wir unterstützen mobiles und flexibles Arbeiten – auch aus dem Ausland. * Unser Arbeitszeitkonto hilft dir, Beruf und Privatleben in Einklang zu bringen. * Ein Betriebsrat, der dir mit Rat und Tat zur Seite steht. * 30 Tage Urlaub im Jahr sind für uns selbstverständlich. * Wir fördern deine Entwicklung durch unser integriertes Karrieresystem. * Fort- und Weiterbildung ist uns sehr wichtig und wird bei uns offen praktiziert. * Konfiguriere jede Art von JobRad – oder mehrere auf einmal. * Veranstaltungen fördern unsere offene und teamorientierte Kultur. * Du wirst mit internationalen Kollegen und Kunden zu tun haben.   Wir entwickeln nicht nur Systeme, sondern Zukunft. Werde Teil unseres Weges.

Machine Learning Engineer, Relevance and Personalization

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives.  The Difference You Will Make: We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb’s mission of creating a world where people can Belong Anywhere. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home A Typical Day:  * Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases. * Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact. * Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases. * Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep. Your Expertise: * New grad Ph.D in ML/AI or 2+ years of industry experience in applied ML/AI with a M.S. or B.S degree. * Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills. * Deep understanding of Machine Learning best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection). * Exposure to 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive). * Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models). * Proven ability to choose the right ML method to solve the problem within current constraints while having a clear vision of the next iterations and a good balance between exploration and exploitation of different techniques. * Ability to go deep and build the most impactful solutions while also leading multiple directions across multiple teams and organizations to ensure the success of our mission. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.  We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.   Pay Range $166,000—$195,000 USD