Remote Dev Jobs
23 jobs available
ToptalRemote1d ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for engineers to help build and productionize AI systems on AWS Bedrock AgentCore — real conversational AI, RAG pipelines, and agent architectures that go well beyond proof-of-concept and serve live traffic and real users. Whether your strength is on the AI application side (agents, RAG, orchestration) or the platform side (deployment, observability, security), this role sits at the center of turning working demos into production-grade, reliable systems on Bedrock's agentic stack. If you've built and shipped on AgentCore specifically — not just Bedrock in general — and want your work to run in production rather than sit in a notebook, this is built for that. What You'll Do Design, build, and deploy conversational AI systems, chatbots, and AI agents using AWS Bedrock AgentCore Architect and ship production-grade RAG (Retrieval-Augmented Generation) systems — not prototypes, but systems serving live traffic Build and deploy LLM applications primarily on AWS Bedrock and AgentCore, with Azure OpenAI or equivalent platforms as secondary context Develop and orchestrate agent architectures within AgentCore, using frameworks such as LangChain, LangGraph, or LlamaIndex where applicable Build and maintain MCP (Model Context Protocol) server integrations to extend AgentCore agent capabilities Design and build the production service layer around AgentCore (Lambda, API Gateway, IAM, DynamoDB, OpenSearch, or equivalents) Establish CI/CD pipelines and manage development, beta, and production environments for AgentCore-based services Implement observability for AgentCore agents: tracing, dashboards, per-turn cost and latency metrics, error rates, and audit trails Implement key security controls — data-leakage protection, session isolation, auth/authz boundaries, secure prompt/response storage Write clean, maintainable, production-quality Python across the AI application and platform stack Monitor, evalua
REGEX SEORemote1d ago
Headquarters: Mexico City URL: http://regexseo.com Description Join our 100% remote team and enjoy the freedom and flexibility to work from anywhere! With 64 days of paid time off per year, you can take the time you need to recharge and come back to work feeling refreshed. Apply now and take the first step towards a fulfilling career! Are you a creative and talented UI designer with a passion for creating visually stunning and intuitive user interfaces? If so, we want you to join our team! As a UI designer at our company, you will have the opportunity to work on a variety of exciting projects, collaborating with a talented team of designers, developers, and product managers to create world-class user experiences. In this role, you will be responsible for designing the look and feel of our web and mobile applications, as well as creating wireframes, prototypes, and high-fidelity mockups. You will also be responsible for conducting user research and testing to ensure that your designs are intuitive, easy to use, and meet the needs of our customers. We are looking for someone who is highly skilled in design software such as Adobe Creative Suite and Figma, and who has a strong portfolio of UI design work. You should also have excellent communication and problem-solving skills, as well as the ability to work independently and meet deadlines. If you are ready to take your career to the next level and make a meaningful impact on the user experience of our products, we encourage you to apply for this exciting opportunity. Join our team and help us create innovative and engaging user interfaces that delight our customers! Who we are Join the ranks of top industry professionals at REGEX SEO, a young and rapidly growing marketing agency based in the US! Our specialty is delivering top-notch digital marketing solutions for home service businesses. In just a short time, our team of talented designers, developers, analysts, and marketers has helped numerous clients achieve succes
ToptalRemote4d ago
Headquarters: Remote URL: https://www.toptal.com/ Summary: We are looking for a Senior Full Stack AI Engineer to design, build, and scale production-grade applications powered by generative AI. This role is focused on delivering real products, not just prototypes. The ideal candidate is a strong end-to-end builder who can make sound architectural decisions, integrate AI capabilities into usable systems, and balance fast delivery with long-term maintainability. General Information: This is a senior engineering role for someone who can own product development from architecture through deployment. The role requires strong full stack engineering fundamentals combined with hands-on experience integrating generative AI into production workflows. The right candidate understands how to build scalable backend services, intuitive frontends, and reliable AI-enabled features that serve real users. This person should bring strong product thinking, architectural judgment, and the ability to move independently from requirements to shipped solutions. Tasks and deliverables: Build end-to-end applications that incorporate generative AI capabilities into real user workflows Develop scalable backend services, APIs, and integrations using modern engineering practices Build responsive and maintainable frontend experiences using modern frameworks Design modular system architectures that support scalability, reliability, and long-term maintainability Integrate LLMs and other AI tools into production applications with appropriate safeguards and monitoring Optimize prompt flows, data pipelines, and system interactions for consistency and performance Translate business requirements into technical solutions and make strong implementation trade-offs Own features from ideation through development, testing, deployment, and iteration Reuse and adapt proven solutions where appropriate to accelerate delivery Continuously improve product quality based on performance data, feedback, and operational le
JetBrainsRemote4d 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
CoinbaseRemote4d 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 Legal organization manages corporate governance across 60+ global subsidiaries, public company reporting, institutional client agreements, and product counsel for every product group. As a Senior Staff Software Engineer, Legal Automation, you'll join this team to architect and deliver the AI-native platform that transforms high-volume legal workflows into scalable, automated systems. You'll embed directly with Legal leadership, prototype the highest-leverage opportunities, and ship production-grade AI agents that set the standard for how non-technical orgs at Coinbase operate with AI. What You'll Do: Embed with Legal leadership to develop ground-level understanding of workflows, join planning sessions, and identify the automation opportunities with the greatest business impact. Architect and deliver production-grade AI systems with built-in auditability, observability, human-in-the-loop design, and guardrails from day one. Own the Legal automation roadmap in partnership with the VP of Legal and CCO, translating complex legal workflows into engineering requirements and engineering constraints back to legal stakeholders. Define the build-vs-buy strategy for Legal tooling, evaluating what Coinbase should build internally, integrate from partner teams, or retire. Serve as the technical thought partner to Legal leadership, surfacing engineering r
CoinbaseRemote5d 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 . As a Senior Staff Software Engineer on the Core Automation team within Platform , you'll architect and build the Agentic AI systems that are reimagining how Coinbase delivers customer support and manages compliance at scale. This team is focused on automating high-volume operational processes with AI, then building the primitives and orchestration platform that let every domain at Coinbase leverage those capabilities. You'll own the technical vision for production AI systems that directly improve customer experience, strengthen compliance posture, and drive outsized efficiency gains. What you'll do: Own the design and implementation of Agentic AI systems powering Coinbase's customer support and compliance automation Architect a reusable platform of primitives, orchestration tools, and interfaces that enable other teams to adopt Agentic AI for their domains Drive cross-functional alignment with product, compliance, and operations stakeholders to translate business needs into scalable technical solutions Lead technical strategy for getting LLM-based applications from prototype to production, including grounding, hallucination reduction, and reliability at scale Mentor engineers across the team on system design, coding standards, and AI/ML best practices Required Skills and Experience: 12+ years of backend software engineering experience, with deep profic
TwilioRemote5d ago
Headquarters: Remote - India Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the team as Twilio’s Senior Application Engineer, Zuora Billing About the job This position is needed to join our Enterprise Application Development and Operations team as senior Application Engineer who is responsible for design, configure, develop and test Zuora billing to support the requirements of the Finance, quote, Billing, AR, Revenue, Collections & Accounting teams. The ideal candidate should be a self-starter, have a solid analytical mindset, excellent interpersonal communications, diligent time management skills, be team-oriented and have a strong work ethic. The candidate should be able to conduct design workshops with the business, build a prototype of the system for demos before the start of the development phase. Should be able to mentor a couple of junior consultants under him/her. Should be able to work well under pressure to meet ongoing and overlapping deadlines within short time constraints. This role is expected to be having strong knowledge Zuora SaaS Billing, Usage and Subscriptions, product and pricing config, Cash application and Revenue processes integrated with multiple upstream usage systems and downstre
TE ConnectivityRemote1w ago
Headquarters: United States URL: http://te.com At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview As a Sr. Product Dvl Engineer in the Signal Integrity team you will focus on the electrical design, simulation, and verification-validation testing of high speed products in the connector and/or cable assembly, radio system industry—targeting high speed communications and connectivity within datacenters and wireless infrastructure. You will be expected to independently work on projects in the areas of signal integrity for product and system design including modeling, simulation, testing and circuit board layout. You will work collaboratively within a broader cross functional team of mechanical, manufacturing, & operations to execute leading edge products designs. You will be the subject matter expert for the signal integrity performance of a product/platform beginning with the initial analysis through prototype fabrication & evaluation, and production verification testing. You will tackle challenging design problems and utilize simulation tools to guide complex designs toward success. Job Requirements Responsibilities: Subject matter expert in signal integrity design, simulation and validation activities through product development cycles Establishing signal integrity design performance/functional requirements for new products Performing signal integrity simulations for multiple high-speed standards on each product. This includes determining the correct simulation methodology and setup to use, as well as a good understanding of the criteria for each interface. Performing PCB design schematic and layout reviews Creating actionable recommendations based upon design reviews and simulation results Guiding connector design and component qualifications from a signal integrity standpoint. Making data driven decisions about the product functionality and areas
Riverside Research · 🇺🇸 United StatesRemote2w ago
Riverside Overview Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship. Position Overview Riverside Research is seeking a full-time Validation and Verification (V&V) Specialist to join our team. The successfu…
ToptalRemote2w ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for engineers to help build and productionize AI systems that go well beyond proof-of-concept — real conversational AI, RAG pipelines, and agent architectures running on AWS Bedrock and/or Azure OpenAI, serving live traffic and real users. Whether your strength is on the AI application side (agents, RAG, orchestration) or the platform side (deployment, observability, security), this role sits at the center of turning working demos into production-grade, reliable systems. If you like being close to the frontier of agentic AI and want your work to ship rather than sit in a notebook, this is built for that. What You'll Do Design, build, and deploy conversational AI systems, chatbots, and AI agents powered by large language models Architect and ship production-grade RAG (Retrieval-Augmented Generation) systems — not prototypes, but systems serving live traffic Build and deploy LLM applications on AWS Bedrock, Azure OpenAI, AgentCore, or equivalent platforms Develop and orchestrate agent architectures using frameworks such as LangChain, LangGraph, or LlamaIndex Build and maintain MCP (Model Context Protocol) server integrations to extend agent capabilities Design and build the production service layer (Lambda, API Gateway, IAM, DynamoDB, OpenSearch, or equivalents) Establish CI/CD pipelines and manage development, beta, and production environments Implement observability: tracing, dashboards, per-turn cost and latency metrics, error rates, and audit trails Implement key security controls — data-leakage protection, session isolation, auth/authz boundaries, secure prompt/response storage Write clean, maintainable, production-quality Python across the AI application and platform stack Monitor, evaluate, and iterate on agent, RAG, and platform performance in production Stay current with fast-moving developments in LLMs, agentic systems, and cloud AI platforms, and bring relevant advances into the
amentis solutions GmbH · 🇩🇪 Tholey, GermanyRemote57y ago
Brennst Du dafür, Ideen in funktionierende Anwendungen zu verwandeln und Technologien weiterzuentwickeln? Dann findest du im Software Development Team von amentis solutions GmbH garantiert die passende Aufgabe! In einem dynamischen, vielseitigen Team arbeitest Du mit fortschrittlichen Technologien an abwechslungsreichen Projekten für unsere Lösungen für digitale Batterie-Technologie, GenAI, Data Management, Traceability und Analytics. Dabei gestaltest du unsere bestehenden Produkte aktiv mit und setzt eigene Impulse, die neue Trends anstoßen und Innovationen ermöglichen. Durch interdisziplinäre Zusammenarbeit, kreatives Denken und technisches Können entwickelst Du Softwarelösungen, die sowohl technisch überzeugen als auch im praktischen Einsatz echten Mehrwert bieten. Aufgaben Du analysierst Kundendaten, entwickelst Machine-Learning-Modelle und bewertest sie anhand fachlicher wie technischer Kriterien Du baust und betreibst Datenpipelines – von der Anbindung der Quellsysteme über Transformation bis zur Bereitstellung Du überführst Modelle in produktionsreife Services (Training, Deployment, Monitoring, Retraining) Du übernimmst auch Backend-Entwicklung, wenn es das Projekt erfordert – etwa APIs, Services oder Integrationen rund um die Datenverarbeitung Du schreibst Code, der über den Prototypen hinausgeht: getestet, dokumentiert, wartbar Du übersetzt fachliche Fragestellungen unserer Kunden in konkrete Anwendungsfälle – inklusive einer ehrlichen Einschätzung, was mit den vorhandenen Daten realistisch machbar ist Du arbeitest aktiv im Team an unserer Referenzarchitektur mit und bringst Deine innovativen Ideen ein Qualifikation Deine Ausbildung & Erfahrung Abgeschlossenes Studium in Informatik, Mathematik, Statistik oder Physik und mind. zwei Jahre Berufserfahrung Deine Skills Sehr gute Python-Kenntnisse und Erfahrung mit dem gängigen Stack (pandas, NumPy, scikit-learn, PyTorch oder TensorFlow), Kenntnisse weiterer Programmiersprachen (TypeScript, Java) sind von Vortei
Jobgether · 🇩🇪 GermanyRemote57y ago
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Director - Machine Learning based in Germany. This role offers the opportunity to lead advanced AI and machine learning initiatives within a highly innovative engineering environment. You will shape the strategy, development, and implementation of AI-driven solutions designed to transform creative workflows and unlock new possibilities. Working at the intersection of research, engineering, and product innovation, you will guide teams in exploring emerging AI technologies and turning ideas into impactful solutions. The position requires a visionary technical leader who can combine deep machine learning expertise with strong communication and collaboration skills. You will play a key role in defining AI capabilities, establishing best practices, and driving experimentation in a fast-moving, remote-first environment. Accountabilities Lead the research, development, prototyping, and implementation of machine learning solutions to support innovative product experiences. Oversee AI and ML initiatives, including intelligent systems development, workflow optimization, and experimental prototypes. Identify opportunities to integrate generative AI technologies across production processes and translate concepts into actionable strategies. Collaborate with cross-functional teams to gather AI-related needs, prioritize opportunities, and deliver impactful solutions. Explore and develop AI models trained on internal data, including experimentation with local and specialized machine learning systems. Establish guidelines, frameworks, and best practices for agentic AI systems and emerging AI technologies. Educate technical and non-technical stakeholders on AI capabilities, limitations, and practical applications. Monitor advancements in AI research, models, tools, and industry trends to ensure continued innovation and technical excellence. Provide tec
intercom · 🇬🇧 London, United KingdomRemote57y 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>Fin's Machine Learning team 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 ML product 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 unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.</p> <h2>What will I be doing? </h2> <ul> <li>Play an active role in hiring, mentoring and career development of ot
Jobgether · 🇩🇪 GermanyRemote57y ago
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Researcher — AI Architecture Research based in Germany. Join a research-driven team dedicated to advancing the next generation of artificial intelligence through innovative model architecture design. In this role, you'll explore novel approaches to machine learning, bridging cutting-edge theoretical research with practical deployment in production environments. You'll collaborate with experienced researchers and engineers to develop, evaluate, and optimize new AI architectures that push the boundaries of performance, scalability, and efficiency. This is an exciting opportunity for researchers who are passionate about publishing impactful work while seeing their ideas translated into real-world AI systems. If you thrive in a highly technical, fast-paced environment and enjoy tackling fundamental AI challenges, this role offers exceptional scope for innovation and professional growth. Accountabilities Research, design, and evaluate novel AI model architectures beyond traditional Transformer-based approaches. Investigate new techniques to improve model scalability, computational efficiency, training stability, and inference performance. Prototype innovative architectures and validate their effectiveness through rigorous experimentation, benchmarking, and ablation studies. Author and co-author high-quality research papers for leading machine learning conferences, journals, and preprint platforms. Collaborate closely with engineering teams to translate research breakthroughs into production-ready training and inference systems. Monitor emerging advancements in artificial intelligence research and identify promising directions for future innovation. Contribute to defining the long-term research roadmap and influence the evolution of next-generation AI models. Requirements Strong academic or industrial research background in machine learning
Pacemaker · 🇩🇪 GermanyRemote57y ago
DEIN UMFELD UND TEAM Du begeisterst dich für Machine Learning, Software Engineering und den Einsatz von KI für nachhaltige Anwendungsfälle? Dann werde Teil unseres Teams der Sustainability Management Platform und unterstütze uns dabei, Sustainability Manager mit modernen ML- und LLM-basierten Systemen in ihrem Arbeitsalltag zu entlasten. Du wirkst am Aufbau von KI-Komponenten, Datenpipelines und Modellierungslogiken mit, die unseren Kunden dabei helfen, fundierte und nachhaltige Entscheidungen zu treffen. DEIN VERANTWORTUNGSBEREICH Du unterstützt die Entwicklung unserer KI-Systeme (u. a. LLM-basierte Ansätze, Embeddings und Retrieval-Methoden), um Carbon Footprints und weitere Nachhaltigkeitskennzahlen präzise zu berechnen. Du entwickelst und optimierst Python-Code für Datenpipelines, die unsere Emissionsfaktor-Datenbank in bestehende Systeme integrieren. Du arbeitest mit SQL, um Daten zu analysieren, zu validieren und für den Einsatz in Machine-Learning-Modellen aufzubereiten. Du unterstützt bei der Datenmodellierung sowie der Automatisierung von Bilanzierungsmethoden und sorgst dafür, dass diese den aktuellen Standards entsprechen. Du unterstützt unsere Product Owner und das Machine-Learning-Team bei kundenspezifischen Recherchen, Prototypen und Modellierungsaufgaben. DAS BRINGST DU MIT Du bist aktuell in einem Bachelor- oder Masterstudium der Informatik, Data Science, Mathematik, Physik oder eines vergleichbaren Studiengangs eingeschrieben und hast noch mindestens ein Jahr Studienzeit vor dir. Du verfügst über gute Python-Kenntnisse und ein solides Verständnis der Grundlagen des Machine Learnings (z. B. Modelltraining, Evaluation und gängige Algorithmen). Welches Framework du bisher genutzt hast, ist für uns weniger entscheidend als dein grundlegendes Verständnis. Du hast bereits mit Large Language Models (LLMs) gearbeitet oder eigene Projekte umgesetzt (z. B. mit Prompting, RAG-Systemen oder Embeddings) und möchtest dieses Wissen in der Praxis weiter vertiefen.
energy matters GmbH · KulmbachRemote57y ago
Claude Code ist bei dir schon offen, bevor andere das Ticket fertig geschrieben haben? Du baust an einem Nachmittag einen Prototyp, der ein echtes Problem löst? Dann lies weiter. Wir bauen gerade die KI-getriebene Energieplattform für den Gewerbevertrieb — und suchen jemanden, der mit uns baut. Aufgaben DEINE MISSION Das baust du bei uns Agentisch entwickeln Du arbeitest täglich mit Tools wie Claude Code, Codex & Co. und baust damit eigenständig Prototypen, Automatisierungen und Analysen. LLM Tool Calling und Structured Outputs sind für dich Handwerkszeug. Features shippen Du setzt kleinere Features und Bugfixes eigenständig um — von der Idee bis zum Merge. Dein Code geht live und wird von echten Vertriebspartnern genutzt. AI-Tools scouten Neue Modelle und AI-Tools probierst du am Erscheinungstag aus und übersetzt sie in konkrete Anwendungsfälle für unsere Plattform. Den Energievertrieb automatisieren Du gestaltest die KI-Workflows mit, die unsere Plattform tragen: Live-Bonitätsprüfung, Antragsvalidierung, automatisierte Provisionsabrechnung. Direkt am Kern arbeiten Du arbeitest unmittelbar mit dem Gründerteam und unseren KI-Experten zusammen — kurze Wege, schnelle Entscheidungen, sichtbare Wirkung. Qualifikation MUST-HAVE Das bringst du mit 01 Immatrikulation Du bist eingeschriebene:r Student:in, z. B. in Informatik, Wirtschaftsinformatik, Data Science oder einem verwandten Fach. 02 Agentic-Development-Skills Du entwickelst eigenständig KI-basiert: Tools wie Claude Code oder Codex sind dir vertraut, LLM Tool Calling und Structured Outputs verstehst du und wendest sie an. 03 AI-First Mindset AI ist dein tägliches Werkzeug, kein Buzzword. Du verstehst, wie LLMs und Agenten funktionieren, und probierst Neues sofort aus. 04 Builder-Mentalität Du arbeitest eigenständig, bleibst hartnäckig dran und lieferst lieber einen funktionierenden Prototyp als ein perfektes Konzept. 05 Sprache Deutsch fließend in Wort und Schrift. Ein klassischer Entwickler-Background ist keine Vor
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. Deine Aufgaben LLM-Anwendungen bauen. Du entwickelst dialogbasierte Systeme und semantische Suche und integrierst sie in die fachlichen Anwendungen der Branchenlösung. RAG-Systeme aufsetzen und pflegen. Inklusive Wissensbasis-Management: Indexierung, Aktualisierung, saubere quellengetrennte Ablage von strukturierten und unstrukturierten Inhalten. Betrieb und Monitoring. MLOps im Produktivbetrieb: Observability, strukturiertes Logging, Fehleranalyse. Du sorgst dafür, dass die Systeme laufen, nicht nur, dass sie einmal liefen. Agenten produktiv setzen. Von der Entwicklung über die Integration und die Anbindung an Portalsysteme bis zur stabilen Auslieferung. Auf Datenbasis verbessern. Auf Basis von Monitoring-Daten, Tests und Nutzerfeedback machst du die Lösungen Schritt für Schritt besser. Neues erproben. Du identifizierst neue KI-Anwendungsfelder, probierst sie aus und baust die Datenpi
Ecoturn GmbH · 🇩🇪 Munich, GermanyRemote57y ago
Wir handeln THG-Quoten und betreiben mit Elektrovorteil eine der aktiven B2C-Marken im Markt. Hinter dem Wachstum steht ein kleines, schnelles Team, das seine Prozesse konsequent mit KI und eigenen Tools skaliert statt mit mehr Köpfen. Wir suchen jemanden, der genau das vorantreibt: aus einem Ticket wird bei dir in Tagen ein laufendes Tool, kein Backlog-Eintrag für nächstes Quartal. Wenn du KI nicht als Buzzword, sondern als tägliches Werkzeug nutzt und Freude daran hast, Systeme zu verbinden und Abläufe zu automatisieren, passt die Rolle. Deine Mission Du machst unser Unternehmen operativ schneller, indem du Prozesse automatisierst, interne Tools baust und unsere Systemlandschaft (HubSpot, Mailchimp, interne Datenbanken, KI-Assistenten) zu einem sauber verzahnten Ganzen machst. Aufgaben Ticket zu Vibecode: Du nimmst Anforderungen aus dem Team auf und setzt sie mit modernen KI-Coding-Tools (Claude Code, Cursor und vergleichbar) schnell in funktionierende, verlässliche Lösungen um. Prototyp heute, pilotreif diese Woche. Prozesse automatisieren: Du findest wiederkehrende manuelle Abläufe (Support, Kampagnen, Reporting, Datenpflege) und ersetzt sie durch Automatisierungen und Skripte. Tools bauen und betreiben: interne Web-Tools, Dashboards, kleine Services und KI-Assistenten. Von der Idee über die Umsetzung bis zum stabilen Betrieb. HubSpot-Integration: Du verbindest HubSpot mit unseren übrigen Systemen (Datenflüsse, Workflows, Anreicherung, Reporting) und sorgst dafür, dass Vertrieb und Marketing sauberer arbeiten. Interteam-Kommunikation: Du bist die technische Schnittstelle zwischen Geschäftsführung, Marketing, Support und Trading. Du übersetzt Business-Anforderungen in Lösungen und die Lösungen zurück in verständliche Ergebnisse. KI im Alltag verankern: Du hilfst dem Team, KI-Werkzeuge produktiv und sicher zu nutzen, und baust die dafür nötige Infrastruktur (MCP-Anbindungen, Assistenten, Vorlagen). Qualifikation Du baust eigenständig Software und Automatisierungen
ANGEHEUERT GmbH Personalberatung · 🇩🇪 Nuremberg, GermanyRemote57y ago
Help develop the embedded software behind one of the world's first scalable road power plants. Our client is a fast growing GreenTech startup based in Mils, Austria, developing one of the world's first scalable road power plants. By transforming existing road infrastructure into a new source of renewable energy , the team is creating a completely new way of generating clean electricity without additional land use. As an Embedded Software Engineer , you will develop the embedded software that controls this groundbreaking technology and helps bring it from prototype to international deployment. Working closely with electrical, mechanical, hydraulic and physics engineers , you will build intelligent control systems, integrate hardware and software, and help shape the future of clean energy infrastructure . If you enjoy taking ownership, solving complex engineering challenges and building products with real world impact, this is your opportunity to leave your mark. Tasks As an Embedded Software Engineer , you will develop the embedded software that powers the next generation of the Road Power Plant and helps prepare the technology for international deployment. Embedded Software Development: Design and develop embedded software for the Road Power Plant and future energy harvesting systems. Firmware Engineering: Implement robust firmware and real time control algorithms for embedded controllers. Simulation & Validation: Develop and maintain MATLAB/Simulink models for system simulation, validation and optimization. Hardware Integration: Integrate sensors, actuators and communication interfaces into the overall electrical system architecture. Testing & Debugging: Perform Software in the Loop (SIL), Hardware in the Loop (HIL), laboratory and field testing to validate system performance. Data Infrastructure: Develop and maintain cloud based data storage solutions and databases for pilot installations and operational analysis. Cross Functional Engineering: Collaborate closely
ANGEHEUERT GmbH Personalberatung · 🇩🇪 Nuremberg, GermanyRemote57y ago
Help develop the technology that could change how the world generates renewable energy. Our client is a fast growing GreenTech startup based in Mils, Austria, developing one of the world’s first scalable road power plants. By transforming existing road infrastructure into a new source of renewable energy , the team is creating a completely new way of generating clean electricity without additional land use. As an Electrical Engineer , you will help bring this breakthrough technology from prototype to international deployment. Working closely with mechanical, software, hydraulic and physics engineers , you will solve complex engineering challenges, build innovative hardware and help shape the future of clean energy infrastructure . If you enjoy taking ownership, moving fast and building products with real world impact, this is your opportunity to leave your mark. Tasks As Electrical Engineer , you will develop the electrical systems behind an innovative ClimateTech product and help prepare it for international serial production. Hardware Development: Design and develop electrical hardware for the next generation of the Road Power Plant. Circuit Design: Create electrical schematics, select components and design high quality PCB layouts. Testing & Validation: Perform simulations, laboratory testing, debugging and system validation. Prototype Development: Develop prototypes and support the transition into serial production. System Integration: Integrate sensors, actuators and control units into the overall product architecture. Cross Functional Engineering: Collaborate closely with mechanical, hydraulic, software and physics teams to solve interdisciplinary engineering challenges. Field Testing: Support real world testing and continuously improve hardware performance under practical operating conditions. Continuous Improvement: Optimize existing electrical systems with a strong focus on reliability, manufacturability and scalability. Innovation: Contribute to future con