Remote Dev Jobs
51 jobs available
Customer.ioRemote2w ago
Headquarters: Americas Remote About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. About the role Hi, my name is Nick Guardino, Senior Director of Marketing Ops at Customer.io , and I'm looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on. Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren't built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we're figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building. What we value Craft over quick wins — energized by making things robust, not just making them work. A point of view — we want someone who asks "why did you build it that way?" and has a specific answer for what to do instead. Comfortable being wrong — you try things fast, and you course-correct just as fast. AI-native by default — you'd rather direct Claude to write and QA code than write it by hand. What you'll do Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code. Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do. Deployment & infrastructure — stand up and maintain the pipelines that get agents into users' hands without surprises, owning environment parity and release hy
CoinbaseRemote1mo ago
Headquarters: Remote - USA Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Coinbase's Compliance organization manages regulatory obligations across products, operations, and growth — spanning transaction monitoring, sanctions screening, regulatory change management, and exam readiness across 60+ global entities. This role sits directly inside the Office of the CTO, embedded as a founding engineer within Compliance. You'll identify high-value workflow opportunities, rapidly prototype solutions using Coinbase's existing AI platform, and drive measurable adoption of AI tooling across the Compliance org. You'll be the connective tissue between Compliance stakeholders and the engineering teams who maintain Coinbase's AI platform, acting as advocate, translator, and builder in one. What you'll do: Embed with Compliance leadership and frontline teams to surface the automation opportunities with the greatest business leverage — developing ground-level understanding of workflows like transaction monitoring, sanctions screening, regulatory change management, and exam preparation. Prototype quickly and pragmatically using Coinbase's existing AI platform as the default foundation before recommending net-new builds. Own the Compliance automation roadmap in partnership with the Chief Compliance Officer and Compliance leadership, translating complex regulatory workflows — case resolution, trade surveillance, risk assessment, policy manageme
HygraphRemote1mo ago
Headquarters: Dircksenstraße 47, 10178 Berlin, Germany URL: https://hygraph.com How will you make an impact? As a Senior Full Stack Engineer, you'll work at the intersection of engineering and product to shape how our users build with Hygraph. You'll ship features that solve real customer problems, contribute to our CMS core, extend our platform capabilities, and help bring AI-powered features to life. You won't wait for perfect specs or pixel-perfect designs. You'll use your judgment, collaborate closely with product managers, designers, and customers, and move fast using modern AI-assisted development tools. This role is for someone who sees engineering as a team sport, takes ownership without waiting for permission, and thrives in an environment where initiative matters more than instructions. What you will be working on: Core CMS development: Evolve the GraphQL-native CMS powering enterprise teams worldwide, improving performance, reliability, and developer experience. CMS extensions and integrations: Develop and maintain extensions that expand what customers can do with Hygraph. AI-powered features: Contribute to our AI roadmap by building intelligent capabilities into the product. Customer-facing improvements: Use monitoring data, customer feedback, and your product instinct to identify and fix problems before they're reported proactively. Some of your tasks and responsibilities: Collaborate in a cross-functional, autonomous team to deliver features and continuous improvements, often working from rough prototypes or early concepts rather than polished designs. Translate business needs into technical solutions by working closely with the Product team. Occasionally, participate in customer conversations to validate that what you're building actually solves their problems. Comfortable using modern AI-assisted development tools (Cursor, Claude, Codex, or similar) to accelerate development. Proactively identify issues through monitoring and observability data. Then
JetBrainsRemote1mo ago
Headquarters: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia AI is fundamentally changing how developers write, understand, debug, and maintain software. At JetBrains, we're exploring what an AI-native development experience should look like for C++ developers. We are looking for a senior technical leader to help shape this future by building AI-powered workflows, integrating coding agents into developer tools, and defining how CLion can become a first-class environment for AI-assisted software development. This is a highly hands-on role focused on technical leadership rather than people management. You should expect to spend most of your time prototyping, implementing, and validating AI-powered workflows while helping shape technical direction through hands-on engineering. You'll work at the intersection of developer tools, AI agents, IDE architecture, and product strategy while helping define how software developers work with AI in the future. Example problems you'll work on: How can coding agents become more effective when working with large C++ codebases? How can CLion's debugging, code understanding, and navigation capabilities be integrated into AI-assisted development workflows? How should AI-powered developer experiences be evaluated and benchmarked in real-world development scenarios? What capabilities should AI agents have access to inside a modern IDE? How can we make CLion a better environment for developers who increasingly collaborate with AI tools and agents? In this role, you will: Shape and deliver AI-powered features for CLion and C++ development workflows. Design the architecture for AI integrations, agent tools, and C++-specific AI capabilities. Build practical benchmarks and evaluation frameworks for AI-assisted C++ development scenarios. Prototype and validate new AI work
Teamsware GmbH · 🇩🇪 Munich, GermanyRemote57y ago
Über Teamsware: Wir sind Pioniere in der digitalen Transformation der Baubranche. Unsere Projekt- und Unternehmensplattform auf Basis von Microsoft 365, Teams und SharePoint wird individuell auf unsere Kunden zugeschnitten. Und wir gehen einen Schritt weiter: Wir bauen KI fest in unsere eigene Arbeitsweise und in unsere Kundenlösungen ein. Diese Rolle hat zwei Seiten: Nach innen treibst du unsere eigenen KI-Prozesse voran und machst Teamsware zu einem KI-first Unternehmen. Nach außen entwickelst du daraus konkrete Lösungen für Bauunternehmen, Projektentwickler und Planungsbüros. Aufgaben Interne KI-Prozesse: Du analysierst unsere Abläufe in Vertrieb, Projektabwicklung, Support und Administration und automatisierst sie mit Copilot, Copilot Studio, dem Teamsware Studio, Power Automate und passenden KI-Diensten. Kundenlösungen: Du konzipierst und baust KI-Anwendungsfälle für unsere Kunden – vom intelligenten Dokumentenassistenten für Verträge und Nachträge bis zur automatisierten Auswertung von Bautagebüchern und Projektberichten. Enablement: Du schulst Kolleginnen, Kollegen und Kunden, etablierst Prompt- und Nutzungsstandards und sorgst dafür, dass KI im Alltag wirklich ankommt. Governance und Qualität: Du behandelst Datenschutz, Datenqualität und den verantwortungsvollen Einsatz von KI als festen Teil jeder Lösung. Innovation: Du beobachtest den Markt, bewertest neue Modelle und Werkzeuge und bringst das Relevante als Prototyp in unsere Plattform. Qualifikation Echte KI-Begeisterung: Du nutzt KI-Tools täglich, verfolgst die Entwicklung aktiv und hast bereits eigene Automatisierungen oder Prototypen gebaut. Interesse an der Baubranche: Du willst verstehen, wie auf der Baustelle und im Projektgeschäft wirklich gearbeitet wird – Vorerfahrung im Bau- oder Immobilienumfeld ist ein klares Plus. Microsoft-365-Kenntnisse: Sicherer Umgang mit Teams, SharePoint und der Power Platform; Erfahrung mit Copilot Studio, Azure AI oder vergleichbaren Diensten ist von Vorteil. Analytis
SHAPE DACH GmbH · 🇩🇪 Hamburg, GermanyRemote57y ago
Wir bauen Anwendungen, die im Betrieb bestehen. Dafür suchen wir jemanden, der ein Feature von der Datenbank bis ins Interface fertig macht und nicht auf halber Strecke stehen bleibt. Worum es bei uns geht Unsere Projekte laufen über Jahre, nicht über einzelne Sprints. Saubere Architektur und klare Datenmodelle sind bei uns kein Nachgedanke, sondern die Voraussetzung dafür, dass Produkte wachsen können. KI gehört dabei zum Produkt und zum Arbeitsalltag, nicht in ein Sonderprojekt am Rand. Aufgaben Deine Rolle Du arbeitest in einem unserer Produktteams und verantwortest Features über den kompletten Stack. Backend mit Laravel und PHP 8.2+ Frontend mit Vue.js Anbindung von APIs und Drittsystemen Umsetzung von KI-Funktionen in Kundenprodukten, zum Beispiel RAG-Workflows oder Assistenzfunktionen Anforderungen klärst du direkt mit Product Ownern und Designern, statt auf durchspezifizierte Tickets zu warten. Qualifikation Mehrere Jahre Erfahrung in der professionellen Webentwicklung mit Laravel und Vue.js. Wichtig ist uns, dass du den Unterschied kennst zwischen einem Feature, das funktioniert, und einem, das in zwölf Monaten noch wartbar ist. Lust auf Herausforderungen und Dinge mit eigenen Ideen voranzutreiben Sicherer Umgang mit PHP 8+, JavaScript, TypeScript, Git, Code Reviews und Deployments Erfahrung mit automatisierten Tests Gute Deutschkenntnisse für die Zusammenarbeit im Team und mit Kunden Schön, wenn du zusätzlich mitbringst: Erste Projekte mit LLM-APIs (OpenAI, Anthropic oder vergleichbar) Routine in der Arbeit mit KI-Assistenten wie Claude Code Erfahrungen mit anderen Software-Stacks wie CMS oder anderen Frameworks und Programmiersprachen Benefits Was dich erwartet Projekte mit echten Nutzerzahlen statt Prototypen für die Schublade Aktueller Stack, auch bei den KI-Tools Zeit für Weiterbildung und fachlichen Austausch im Team Flexible Arbeitsweise (remote, hybrid oder vor Ort) Wenn du Produkte bauen willst, die länger halten als ein Projektzyklus, freuen wir un
Digitale Leute School · 🇩🇪 Munich, GermanyRemote57y ago
Du denkst in Produkten, arbeitest täglich mit digitalen Tools – aber programmieren war bisher immer die Aufgabe von anderen? Genau das ändert sich gerade. Wer KI präzise briefen kann, baut heute funktionierende Software – und braucht dafür kein Informatikstudium, sondern ein Handwerk, das man lernen kann. Das Vibe Coding Bootcamp der Digitale Leute School bildet digital erfahrene Quereinsteiger:innen ohne Programmiererfahrung remote und berufsbegleitend zum AI Product Builder aus. In 26 Sessions gehst du von der ersten Idee bis zu deinem eigenen, live deployten KI-Produkt. Für Arbeitssuchende mit Bildungsgutschein ist die Teilnahme komplett kostenfrei. Digitale Leute ist die Plattform für Produktmanagement, UX-Design und Engineering. Gemeinsam mit Partnern wie Airbnb, Porsche Digital, Atlassian und Rewe Digital gestalten wir die Software-Entwicklung von morgen – unsere Trainer:innen kommen aus genau diesen Teams. Der nächste Kurs startet bald, es gibt noch freie Plätze. Aufgaben Creative Foundations – von der Idee zur Wirkung: Du startst nicht mit Code, sondern mit dem, was du schon mitbringst: Produktdenken. Du lernst, Nutzerbedürfnisse zu erkennen, KI als kreativen Partner einzusetzen und aus einer Idee ein tragfähiges Konzept zu machen – am Ende von Modul 1 steht dein erster Prototyp. Technical Foundations – genug Technik, um die Kontrolle zu behalten: Daten, APIs, Kommandozeile, Git und GitHub, Deployment und Hosting. Kein Selbstzweck, sondern das Fundament, um zu verstehen, was die KI für dich baut – und um deine App vom Laptop live ins Netz zu bringen. Prompt Engineering – wie Sprache zu Code wird: Der Kern des Handwerks, über fünf Sessions. Du lernst Prompt Design Patterns, baust mehrstufige Prompt Chains, debuggst und optimierst systematisch, statt zu raten. Am Ende steht "Prompt to Prototype": dein erstes eigenes Feature. System Flow & Automation – Prozesse, die für dich arbeiten: Du automatisierst Workflows, verbindest No-Code-Tools wie Airtable, Notion un
Legalhero · 🇩🇪 Berlin, GermanyRemote57y ago
What You'll Do You’ll identify open AI opportunities, build them from start to finish, and bring them to real users. As a Senior AI Product Engineer, you’ll work across our three product squads: You’ll single-handedly turn unaddressed topics into products, hand them off once they’re up and running, and serve as a sparring partner for the squad PMs on all AI-related topics. For us, “senior” refers to your approach to work, not your years of experience. You’ll report directly to Product Leadership. Your Responsibilities Independent AI projects (about half of your time) You’ll identify high-impact AI opportunities in our legal workflows - in areas where no specific squad is responsible Validation happens quickly: discussions with attorneys, Legal Ops, and insurers; prototypes built in days You’ll bring the winning solutions into production yourself: routing, chaining, summarization, and agent-based loops You’ll hand off mature features to the squad - complete with documentation, evaluations, and a handover plan Support for the squads (the other half) Feasibility, costs, model selection, risks: You’ll answer these questions before every AI feature is launched You support the teams in designing evaluations, golden datasets, and guardrails You review concepts before they go into the roadmap - including prompt injection and compliance risks (GDPR, Section 203 of the German Criminal Code) You advance AI best practices: prompt engineering standards, LLM observability, and agent-based coding workflows What you bring Must-have Multiple production-ready AI/LLM systems that you’ve shipped to real users and taken responsibility for - no prototypes Demonstrable product ownership: from a vague problem to a finished product Strong Python skills and a solid foundation in software engineering (Git, testing, CI/CD, code review) In-depth experience with LangGraph, LangChain, or similar - including an understanding of what’s happening under the hood Proficiency with LLM provider APIs: fu
Customs Support Group · JobRemote57y ago
About Customs Support Group Customs Support Group (CSG) is the European market leader in customs services, operating across 15 countries. CSG is owned by private equity and a fast-growing, dynamic, data-driven company, dedicated to expanding its presence through strong organic growth and strategic acquisitions. Its key priorities include digital transformation, operational excellence and customer experience, all aimed at driving growth and enhancing efficiency. The Role You will take our AI stack and lead its development and customisation for the market. This is a builder and do-er role. You will design, test and implement practical and compliant agentic AI solutions on top of foundation models document understanding, classification support, retrieval over our own procedures and tariff material, and agents that carry multi-step operational work end to end. You are not being asked to train models from scratch. You are being asked to make models that already exist behave reliably enough that operations staff trust them with customs declarations, where being wrong has consequences. Working closely with Operations, Transformation, IT and Group teams, you will turn business needs into scalable solutions. Key Responsibilities • Develop and customise AI solutions for the market, from prototype through to production ownership. • Be curious and prepared to self-learn to use generative-AI to build agents that make a difference to our business • Identify automation and decision-support opportunities across customs and business processes, and size them honestly before building. • Design solutions using generative AI and large language models — retrieval, tool calling, structured extraction from customs documentation, and agentic workflows where they genuinely fit. • Own the evaluation. Define how we know a solution is working before it ships, and how we know a change has not made it worse. This is treated as core to the role, not an afterthought. • Manage pilots and implementat
intercom · 🇩🇪 Berlin, GermanyRemote57y ago
<div class="content-intro"><p><a href="https://fin.ai/">Fin</a> is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.</p> <p>Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.</p> <p>Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.</p></div><h2>What's the opportunity? </h2> <p>We’re looking for Staff Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. </p> <p>Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.</p> <p>We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.</p> <p>We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge
Maple Tales GmbH · 🇩🇪 Frankfurt, GermanyRemote57y ago
Maple Tales builds reading and language-learning apps that real schools use every day. A Flutter-based reading app for elementary students, a teacher dashboard, and a white-label language-learning platform running under several school brands. We're a small team, so this isn't a shadowing role: you'll ship real fixes and features into production apps, work directly with the founders, and see your work reach classrooms within days, not sprints. Tasks Ship features and fixes across our Flutter apps, including our student reading app, language-learning app, and teacher dashboard, on both mobile and web. Maintain and extend our white-label language-learning codebase that powers several branded language schools. Work directly with Firebase, from Firestore data and Authentication flows to Hosting deploys and Remote Config. Help us build a real CI/CD deployment pipeline. We already lint and test in GitLab CI. Deployment is still manual today, and we want you to help us change that. Test across browsers, devices, and branded instances to catch inconsistencies before our schools do. Review code, pair with the team on harder bugs, and contribute to technical decisions. Help us understand how students actually use Maple Tales. Instrument new features, analyze user journeys, and turn what we learn into product improvements. Prototype new reading and language-learning experiences and help turn the promising ones into production features. Improve our automated testing and monitoring so we catch regressions before our students and schools do. Build reusable components and internal tooling that make it faster to ship features across our apps and white-label brands. Requirements Enrolled student in Computer Science (Informatik), Business Informatics (Wirtschaftsinformatik), or a related field, available for roughly 20 hours per week during the semester. Based in Germany and legally eligible to work in Germany as a working student. Ideally, you are based in Frankfurt am Main or the su
Finom · 🇩🇪 Berlin, GermanyRemote57y ago
About Finom Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform. We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe. Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain. At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole. Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We are looking for a Senior AI Engineer to design, build, and operate AI systems that solve real business problems across Finom. This role is for someone who can move comfortably from prototype to production: shaping the solution, building the system, measuring quality, and improving it over time. You will work on high-impact initi
Rockstardevelopers GmbH · 🇩🇪 Stuttgart, GermanyRemote57y ago
Du baust produktive KI-Systeme (LLM, RAG, Agenten) für große Kunden im öffentlichen Sektor. Kein Prototyp für die Schublade, sondern Software, die im Regelbetrieb läuft. Wer wir sind Rockstardevelopers, gegründet 2015, Büros in Stuttgart und München. Aus hunderten Projekten für Enterprise- und Mittelstandskunden wissen wir, wie man Software baut, die im Ernstfall trägt. Seit einer Weile verschiebt sich unser Schwerpunkt Richtung KI: LLM-Anwendungen, RAG, Agenten-Systeme, die beim Kunden wirklich produktiv gehen. Genau dafür suchen wir dich. Worum es geht Unsere Kunden sind IT-Dienstleister im öffentlichen Sektor, ein reguliertes Umfeld mit hohen Ansprüchen an Datenschutz und Betriebssicherheit. Dort baust du KI-Lösungen in bestehende Branchenlösungen ein: Dialogsysteme, semantische Suche, RAG-Pipelines, Agenten, alles im echten Produktivbetrieb für viele Nutzer. Projektsprache ist Deutsch. Ein Wort zu Remote, weil es oft die erste Frage ist: Der Alltag läuft remote-first innerhalb der DACH-Region. Ab und zu bist du vor Ort, den Rest der Zeit arbeitest du von dort, wo du gut arbeitest. Aufgaben Produktive Daten- und ML-Pipelines entwickeln Datenaufbereitung und Modelltraining automatisieren Model Serving aufbauen und betreiben, inklusive Monitoring und Alerting ML-Modelle in Fachanwendungen integrieren ML-Modelle überwachen, Model Drift erkennen Technologischen Stack und DevOps-/MLOps-Prozesse weiterentwickeln Qualifikation Das musst du mitbringen Die folgenden sechs Punkte sind harte Voraussetzungen, jeder muss nachweisbar sein. Wenn einer davon fehlt, können wir dich leider nicht ins Rennen schicken. So ehrlich sind wir lieber vorab, als dir Zeit zu stehlen. Mindestens 3 Jahre Erfahrung in CI/CD-Entwicklung Mindestens 3 Jahre Erfahrung in Python-Entwicklung Mindestens 3 Jahre Erfahrung mit Kubernetes und Docker Mindestens 3 Jahre Berufserfahrung als Machine Learning Engineer Mindestens 3 Jahre Projektarbeit in agilen Entwicklerteams Deutsch mindestens auf C1-Niveau
Spacedome Media GmbH · WaldkirchenRemote57y ago
Möchtest du die Welt des E-Commerce revolutionieren und in einem Team aus Spitzenkräften Online-Shops auf sieben- bis achtstellige Umsätze skalieren? Werde zum wichtigsten Ansprechpartner für unsere Beratungskunden, die du auf META ganzheitlich strategisch betreust. Du bist kein klassischer Performance-Marketer, der im Admanager herumklickt, sondern arbeitest auf hohem Niveau mit dem Kunden zusammen. Die Umsetzung liegt beim Kunden. Deine Aufgabe ist es, ihn bestmöglich dabei zu unterstützen. Du arbeitest in einem Team, in dem jeder nach Wachstum strebt und wir uns gegenseitig zu Höchstleistungen anspornen. Du hast ein Team gefunden, mit dem du gemeinsam wachsen kannst. Klingt fast zu gut, um wahr zu sein? Dann lies jetzt weiter – wir suchen nämlich jemanden wie dich für unser Team. Aufgaben Du baust Dateninfrastruktur, Integrationen und Automatisierungen für die SPACEDOME - Intelligence. Parallel dazu bringst du KI in bestehende Marketing-Workflows, auf Kundenseite genauso wie in unseren internen Prozessen. Du entwickelst LLM-basierte Tools und Agenten, z. B. für Media-Buying, Content und Churn-Prevention. Du sorgst dafür, dass Systeme wirklich genutzt werden und direkten Business-Impact liefern. Qualifikation Mindestens 2 Jahre praktische Erfahrung im Aufbau von Automatisierungen, Integrationen oder technischen Workflows Du hast selbst Systeme gebaut, die produktiv liefen und von anderen Menschen genutzt wurden — nicht nur Prototypen, Tutorials oder Side-Projects in der Schublade Sicher in Python oder Node.js: Du schreibst Code, der auch in drei Monaten noch wartbar ist Erfahrung mit LLM-APIs (OpenAI, Anthropic o. ä.) und dem Bau von Tools oder Agenten darauf - inklusive der unangenehmen Themen: Fehlerfälle, Kosten, Qualitätssicherung Du integrierst souverän gegen fremde APIs: REST, Webhooks, OAuth, Rate Limits, Pagination, auch wenn die Doku lückenhaft ist Erfahrung mit Datenpipelines: Daten aus mehreren Quellen zusammenführen, sauber modellieren, für Reporting n
Munich Electrification · 🇩🇪 Munich, GermanyRemote57y ago
About Munich Electrification Munich Electrification is an innovative company founded with the aim of accelerating the transition to electric and connected mobility. We develop innovative electronic control units for electric vehicles and stationary storage systems for our global customers. Our international team is composed of highly motivated and exceptional engineers. As a small and specialized team we are well-aware of the importance of each individual colleague and support and promote each employee according to their abilities and needs. Our office with adjacent prototype and testing lab is located in the heart of Munich at the Heimeranplatz. This is what we stand for: - Technological Leadership : We challenge norms, innovate quickly, and anticipate future needs. We take smart risks and learn from outcomes to stay ahead. - Sustainability : We actively drive change for a sustainable future, aware of our impact and inspiring others to build a better world. - Team Culture : We believe work should be enjoyable, fostering a spirit of inspiration, celebration, and teamwork across the globe. - Entrepreneurial Spirit : We embrace change, think big, and push limits with passion. Your Role: Your primary mission is to own and evolve our Digital Ecosystem , ensuring our cloud-first infrastructure is as innovative and high-performing as our battery technology. You will ensure that our core platforms ( Google Workspace and the Atlassian ) function as a seamless, interconnected network that empowers our company. Acting as the vital bridge between business requirements and technical execution, you will master the configuration of existing solutions and be the technical lead for new application/service implementations. Key Responsibilities: SaaS & Cloud Governance : Act as the Platform Owner for Google Workspace and Atlassian , managing configurations, security, and permissions. Business Process Evolution : Work with department heads to translate business needs into scalable dig
InnoCraft · 🇬🇧 London, United KingdomRemote57y ago
Build and deliver the next generation of privacy-first analytics capabilities — from rapid prototypes and AI-powered insights to scalable product innovations embedded directly into Matomo’s core platform. Own end-to-end innovation development within a small, autonomous team, working closely with the CTO and senior engineers to turn high-impact concepts into practical, production-ready solutions. About Innocraft & Matomo Matomo is an open-source analytics platform trusted by enterprises, public institutions, and governments requiring full data ownership. We are expanding our European engineering team and looking for a Full Stack Engineer who wants to help shape and validate the future direction of Matomo’s product offering through innovation-focused product development. Why This Role Own end-to-end innovation work — from concept and prototyping through deployment and integration into Matomo’s core platform Help shape privacy-first, open-source analytics products used by organisations across 190+ countries Join a profitable, self-funded company with double-digit growth for 5+ years and a steadily expanding global team 100% remote within United Kingdom, with flexible working hours and strong support for work-life balance Work in a high-calibre innovation team using AI-powered development tools to accelerate experimentation, delivery, and impact What You Will Own Innovation Engineering & Product Development Design, prototype, and deliver new features across backend (PHP) and frontend (JavaScript) that extend Matomo’s capabilities Work across additional technologies where needed, including Python and Node.js Rapidly explore and validate new product ideas — including but not limited to AI-powered insights and analytics features Identify and develop innovation opportunities across analytics, visualization, integrations, and user experience End-to-End Ownership & Delivery Own ideas end-to-end, from concept through deployment Balance speed and quality while avoiding unnecess
Forgd Ai · 🇬🇧 United KingdomRemote57y ago
Forward Deployed Engineer (FDE) Remote / 20% Travel About forgd forgd is the consultancy partnering exclusively with Anthropic to help enterprises build AI-native businesses. We start with engineering — helping organizations move from individual developers using Claude Code to entire teams shipping together with AI-native workflows — and expand into agentic solution delivery and broader business transformation. Our conviction is that engineers are uniquely positioned to lead this transformation. The strongest mental model for designing, deploying, and governing AI agents in production lives in software engineering. The teams that change how their organization builds software are the same teams equipped to shepherd the rest of the business into this new world. We embed and co-build with customer teams. Cycles are short, delivery is iterative and accountable to clear outcome goals. About the Role As an FDE, you embed with enterprise customers and own the technical work across the full customer journey — initial demos, short proof-of-value engagements, and multi-week implementations. The work moves customers from interesting prototypes to production capability. Most engagements start in engineering. You'll work with customer engineering teams adopting Claude Code and redesigning their SDLC — code review, requirements, testing, documentation, and governance. From there, the work expands: co-building agentic applications and modernizing legacy systems on the Claude developer platform, and partnering with business stakeholders to deploy agents into core operations like sales, customer service, and finance. You're the expert in the room on how engineers work with Claude Code, what an agentic application looks like in production, and what has to change in an organization to sustain either. You build prototypes, ship code, run workshops, write specs, and make the calls that move customers from demos to deployment. Collaborate directly with Anthropic on customer engagements —
Eraneos · 🇩🇪 Hamburg, GermanyRemote57y ago
What you can expect from us We are a technical, implementation-oriented spin-off of a global management consultancy. Our clients are primarily DAX and Fortune Global 500 companies, which we advise on issues in the areas of analytics, big data and machine learning. Within the group, we take on the development of individual and data-driven solutions in order to transform our clients into AI-powered companies. We offer an international working environment with agile teams and creative startup methods as well as above-average remuneration and numerous additional benefits. With our offices in Hamburg, Munich and Düsseldorf and our hub locations in all other major German cities (Berlin, Frankfurt and Stuttgart), we ensure that all colleagues are integrated into our team of experts across Germany. As an Senior AI Engineer at Eraneos, you’ll combine the worlds of data science, machine learning, software engineering and consulting. Your mission is to develop and operationalize AI models that deliver measurable impact for our clients. You collaborate closely with stakeholders to understand business problems, transform them into data-driven approaches, and translate insights into production-ready end-to-end solutions. You’ll design, implement, and evaluate AI- and ML use cases– from classical ML to cutting-edge LLMs – and ensure their robust deployment and monitoring in real-world environments. Alongside building prototypes, you focus on MLOps practices, software development, and integration, ensuring reproducibility, scalability, and continuous improvement of AI systems. You communicate your results with clarity and confidence to technical and non-technical audiences alike, making complex solutions understandable and actionable. You enjoy thinking beyond the short-term implementation level to create lasting impact for our clients' business. Who you are You have proven experience in data science, statistics, machine learning, software engineering, and / or applied AI projects
Avenit Ag · in DeutschlandRemote57y ago
Über uns Wie bleibt ein RAG-System präzise, wenn aus tausend Dokumenten hunderttausend werden? Wie orchestriert man mehrere Modellanbieter sauber hinter einer Oberfläche? Während anderswo noch Prototypen gezeigt werden, arbeiten unsere Kunden längst damit - mit ihren Daten, ihren Regeln, gehostet in Deutschland. Als Senior Engineer verantwortest du Kernfunktionen und Architektur unserer Plattform, vom Retrieval bis ins Frontend - und du entwickelst sie so, wie wir arbeiten: AI-gestützt, mit Coding-Agents als Teil des Werkzeugkastens und mit echtem Gestaltungsspielraum für deine Ideen. Du suchst eine Rolle, in der technische Tiefe und Produktverantwortung zusammenkommen? Dann sollten wir uns kennenlernen! Das gibt es zu tun Architektur & Umsetzung Du entwirfst und skalierst verteilte Systeme und Microservices - immer mit Blick auf Wartbarkeit, Stabilität und die Frage, was in zwei Jahren noch trägt. KI-Features bauen, die im Alltag halten Du entwickelst die Kernfunktionen unserer Plattform - von RAG-basierten Wissensdatenbanken über KI-Apps für einzelne Fachbereiche bis zu Voice-, Übersetzungs- und Analytics-Funktionen. Full-Stack liefern Du entwickelst performante APIs, modellierst Daten und Datenbanken und setzt moderne Oberflächen im Frontend um - vom Retrieval bis zur Benutzeroberfläche. Daten, Sicherheit & Mandantenfähigkeit Du modellierst Daten für Multi-Tenancy und rollenbasierte Berechtigungen - so, dass niemand über die KI Zugriff auf etwas bekommt, das er nicht sehen darf. Verschlüsselung, Datenminimierung und Auditierbarkeit denkst du von Anfang an mit. Betrieb & Observability mitdenken Du sorgst dafür, dass Qualität, Kosten und Verhalten der KI-Features im Betrieb sichtbar bleiben - mit Evaluations, Monitoring und klaren Guardrails, damit die Plattform auch bei wachsender Nutzung stabil und effizient läuft. Komplexität beherrschen Du entwickelst bestehende Systeme weiter, schaffst klare Strukturen und reduzierst technische Schulden dort, wo sie langfristi
Modus Create · 🇬🇧 United KingdomRemote57y ago
About Us Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We're a digital product engineering partner for forward-thinking businesses. Our global teams work side-by-side with clients to design, build, and scale custom solutions that achieve real results and lasting change, partnering with industry leaders including AWS, GitHub, and Atlassian. We were fully remote before it was cool! Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world's largest brands deliver powerful digital experiences. As an award-winning Atlassian partner with a world-class team, we help organizations innovate and solve complex challenges for Fortune 500 companies and beyond, we want to hear from you. Opportunity We are looking for a Forward Deployed AI Engineer to work closely with clients to identify, prototype, and deploy AI-powered solutions to real-world business challenges. This is a highly hands-on, customer-facing role combining AI engineering, software development, solution architecture, and consulting. You will work directly with users and stakeholders to understand their needs, rapidly build solutions, and iterate based on real-world feedback. The ideal candidate is a strong engineer who is comfortable moving between customer conversations, architecture, coding, prototyping, and production delivery. Key Responsibilities Work directly with clients to understand business challenges, workflows, data, systems, and technical requirements. Translate ambiguous problems into practical AI and software solutions. Design, build, and deploy AI-powered applications, agents, copilots, and intelligent workflows. Integrate LLMs, Generative AI, APIs, enterprise systems, and data sources. Rapidly prototype solutions and validate them with users. Develop supporting APIs, services, data pipelines, and applicatio