Professionalize Workflows into Production Web Services: Take manual, ad-hoc, or brittle processes (such as Google Forms, spreadsheet workflo
Analysiert Finanz- und IT-Prozesse, baut Low-Code-Lösungen und führt KI-Tools in Fachbereiche ein, steuert parallel Transformationsprojekte.
If you re excited by the idea of building technologies that go beyond today s AI accelerators and helping define the future of computing, we
You want to help build the central MLOps/LLMOps Platform that supports over 80 Data Scientists and ML Engineers worldwide?
Wir schreiben dir, sobald eine neue geprüfte Stelle in München dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
MS or PhD in computer vision, machine learning, computer science, or a related field, or equivalent practical experience - 5-7+ years of han
Huawei s Heisenberg Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
Master s degree or PhD in Computer Science, Information Systems, Robotics, Computer Vision, or a related field.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation.
Bridge the gap: Develop and maintain the hardware abstraction layers that allow our higher-level autonomy modules to interact seamlessly with the physical robot.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
is hands-on and code-heavy — you will work inside the same monorepo as the research team, mostly in Python, and should be as comfortable ref
At ARX Robotics, you will help advance the perception capabilities of next-generation unmanned ground vehicles.
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best prod
As an AI Software Engineer in our Data Science team, you will help design and deliver scalable backend and cloud systems that power our AI-d
Shape the future of our AI Engineering and AI Platform capabilities within the Data Science and AI tribe.
Role highlights: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forwa
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Professionalize Workflows into Production Web Services: Take manual, ad-hoc, or brittle processes (such as Google Forms, spreadsheet workflows, or fragile low-code scripts) and re-architect them into resilient, version-controlled web services with clean APIs, databases, robust authentication, and CI/CD pipelines. - Build Customer-Facing & Platform Satellite Tools: Develop and run operational applications used directly by customers and internal operations—including customer onboarding portals, automated approval engines, document/KYC verification pipelines, and administrative services that support the core enmacc platforms. - Engineer AI-Powered & Agentic Systems: Design and implement LLM-powered services, multi-step agentic workflows, and custom Model Context Protocol (MCP) servers that safely connect LLMs to our internal APIs, SaaS tools, and databases. - Lead by Example in Agentic Software Engineering: Heavily utilize AI coding agents to deliver full-stack and backend systems rapidly—while championing best practices, reusable skills/prompts, and agentic engineering workflows across the wider engineering team. - You Build It, You Run It : Own the full lifecycle of your services from stakeholder problem discovery and architectural design to automated testing, containerized deployment, monitoring, and iteration.
Proven Software Engineering Track Record: You bring 3–5+ years of professional software engineering experience building, testing, and operating production backend or full-stack web services (strong proficiency in Java, Python, TypeScript/Node.js, or Go). - AI-Native Engineering Velocity: You use AI coding tools (such as Claude Code, Cursor, or Copilot) daily to write, refactor, and test code significantly faster—paired with strong engineering judgment to review, validate, secure, and stand behind every line you ship. - Production LLM & Agentic Integration Skills: You have hands-on experience integrating major LLM APIs (Anthropic Claude, OpenAI, Google Gemini) into real software projects, using structured outputs, function/tool calling, RAG patterns, evaluation frameworks, and agent protocols (such as MCP). - Strong Systems & Architecture Fundamentals: You have a solid grasp of REST APIs, webhooks, relational databases (SQL/PostgreSQL), data modeling, event-driven architectures, Docker, Linux, and CI/CD pipelines on cloud infrastructure (AWS or GCP). - Pragmatic Full-Stack Capability: While your core strength is building reliable backend systems and APIs, you can comfortably spin up clean, functional web interfaces or internal/customer portals (e.g., using React, Next.js, or modern UI frameworks) with the help of AI coding tools. - Engineering Rigor Over Vibe-Coding : You know the difference between a quick hack and a maintainable service. You know when a problem calls for an LLM agent and when it calls for 50 lines of deterministic code. - High-Agency Problem Solver: You thrive on talking directly to engineers, operations teams, and customer-facing stakeholders, translating messy real-world bottlenecks into elegant software solutions. - Communication: Excellent written and spoken English skills.
Experience building developer productivity tools, CLI utilities, Slack apps, or internal developer portals. - Familiarity with workflow orchestration engines (e.g., Temporal, n8n in self-hosted/code-first setups) or event streaming (e.g., Kafka, message queues). - Prior exposure to B2B SaaS, FinTech, EnergyTech, or regulated customer onboarding/approval workflows. Don t match every single requirement? We still want to hear from you!
Our offer - Competitive compensation package, including 28 days of annual leave. - Entrepreneurial, impact-driven culture with flat hierarchies and high autonomy. - Hybrid & Workation flexibility that balances office connection with the freedom to work from home or abroad. - €2,000 annual L&D budget plus 5 dedicated Level Up days to fuel your growth (for all full-time employees). - Commute & Wellness support, including fully covered gym memberships and paid transportation for office days. - Inclusive, international team that celebrates diversity and offers language classes to help you settle in. - AI-first environment where you’ll collaborate with a dedicated AI Philosophy and cross-functional expert groups. - Premium tech & workspaces, featuring top-tier Apple/Bose hardware in modern, dog-friendly offices. About enmacc enmacc is Europe’s largest over-the-counter trading platform for energy and environmental commodities. We are digitizing the world’s energy markets by replacing manual, outdated processes with speed, transparency, and liquidity.
Our platform empowers a massive network of over 2,400 active traders to manage risk and accelerate the global energy transition. By providing a secure and efficient trading environment for 650+ companies, we facilitate more than 14,000 monthly requests for quotes and 8,000 monthly trades. With a traded volume exceeding 60 TWh per month, enmacc enables energy suppliers, industrial companies, and trading houses to access the liquidity they need to thrive in a shifting market.
As an Equal Opportunity Employer, enmacc is a diverse environment where all backgrounds, identities, and cultures are welcomed and celebrated. If you re excited about this role, apply and help us shape the future of energy trading!
Founded in 2016 and headquartered in Munich, enmacc is a high growth scale-up with a diverse team of over 100 professionals. We’re passionate about energy, technology, and building something that makes a real impact. If you are looking for an entrepreneurial environment where your work directly contributes to a more sustainable and digital energy future, we invite you to submit your application below.
Your Mission As an AI Systems & Automation Engineer in our Platform team, you are a software engineer first—and an AI power-user in everything you build. Your mission is to turn critical operational workflows into robust, containerized production web services powering our internal teams and external customer touchpoints (such as customer onboarding and KYC flows). You will leverage LLMs both in how you build (accelerating delivery with agentic coding tools) and what you build (embedding LLM APIs, tool calling, and MCP integrations into production systems—paired with deterministic backend code where reliability matters most).
You ll also champion our internal agentic engineering practices across the wider team. (Note: This role focuses on production web services, systems integration, and agentic workflows. Core ML research and model training are owned by our Applied AI & Data team.)
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Zur Originalanzeige122 geprüfte Stellen bei 77 Arbeitgebern, 6 davon ortsunabhängig. 69 in der KI-Entwicklung, 32 in Integration & Automatisierung.