Professionalize Workflows into Production Web Services: Take manual, ad-hoc, or brittle processes (such as Google Forms, spreadsheet workflo
As a Product Manager for the AI Platform, you will play a foundational role in defining, scaling, and operationalizing Artificial Intelligen
NVIDIA has been redefining computer graphics and accelerated computing for three decades.
Verantwortet End-to-End-Verbesserungen des KI-Assistenten Oyster AI: Architektur, Retrieval, Agenten, Evaluation und sicheren Rollout.
Als Senior AI Platform Architect (w/m/d) gestaltest Du die nächste Entwicklungsstufe unserer hybriden KI-Plattform und verbindest lokale KI-
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
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Für ein strategisches AI-Transformationsvorhaben bei einem führenden Schweizer Unternehmen suchen wir einen erfahrenen Lead Enterprise Platf
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Backend-Services der AI-Agenten-Plattform als eigenständigen Service entwickeln und betreiben LLM-basierte Agenten-Pipelines, agentische Wor
provides an opportunity to build and develop strong practical data science skills while contributing to measurable business outcomes.
We are looking for a talented graduate to join our AI development team and learn practical AI/ML and data engineering skills.
Verantwortet das AI-Gateway-Produkt von n8n: Modell- und Tool-Anbieter auswählen und verhandeln, Enterprise-Funktionen und Preismodelle definieren.
im Team Designing the next generation of AP automation, with AI as the foundation.
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Build and maintain relationships with business stakeholders and frame business issues, value hypotheses and success metrics; translate initi
Über CHAPTERS Group CHAPTERS Group ist eine börsennotierte deutsche Holding, die vertikale Softwareunternehmen erwirbt und hält.
Who We Are BeNeering was founded in 2007 by experienced SAP solution architects who had spent years working inside global corporations.
Automatisiert den digitalen Prüfungsservice der ETH per Schnittstellen, APIs und KI-Agentensysteme und leitet das zugehörige (Co-)Projekt.
Du entwickelst in abwechslungsreichen Projekten Machine-Learning- und GenAI-Lösungen für unsere Kunden, von LLM-Anwendungen und RAG-Systemen bis zu KI-Agenten.
Erstellt Ratgeber und Blogartikel, optimiert Inhalte für Google und KI-Antworten und misst Sichtbarkeit in Suche und KI-Systemen.
Du entwickelst in abwechslungsreichen Projekten Machine-Learning- und GenAI-Lösungen für unsere Kunden, von LLM-Anwendungen und RAG-Systemen bis zu KI-Agenten.
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
As a Software Engineer, you develop MAIA further and help decide from the start how we solve problems.
As a Product Engineer, you own features from start to finish: from conversations with customers and concept work through to implementation a
As an AI Engineer, you develop MAIA further and help decide from the start how we solve problems.
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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