Applied AI Engineer, ML Infrastructure Engineer / Devops - EMEA
You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best prod
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
Role highlights: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forwa
Agile Robots SE is an innovative company with a clear mission: bringing intelligent robotic solutions to our customers.
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.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency.
The AI Teams at Agile Robots are looking for a Senior Computer Vision Engineer (m/f/d) Robotic Manipulation, who will build vision and softw
Definiert die Kamera-Erfassungsspezifikation für Manipulations-Trainingsdaten, baut das Evaluationsframework und trainiert erste Roboter-Policies auf eigenen Daten.
is based in Munich, Germany.
A very strong senior software engineer with deep, hands-on experience building and operating production systems.
Entwickelt und verbessert 3D-Rekonstruktionsmethoden und Szenenrepräsentationen wie Gaussian Splats, von Optimierung pro Szene bis zu Feed-forward-Modellen.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
As a Senior Perception Engineer, you ll develop core components of SE3 s perception stack, including object detection, tracking, semantic se
The Inference Foundation team owns the core of Mistral s inference stack: the inference engine and its orchestration, from the feature set a
TYTAN Technologies The PACE is fast.
The AI Teams at Agile Robots are looking for a Senior Machine Learning Engineer (m/f/d) Computer Vision for Robotics, who will design and tr
As Engineering Manager for the Production Inference team, you will own both people leadership and technical direction for a team of research
Join a technical team developing intelligent systems that connect the physical and digital worlds.
Build the agent runtime. Sandboxed execution, tool orchestration, memory, the closed loop where the agent checks its own work.
ERGO NEXT is building its Finance organization to be AI-native — starting with reinventing how we forecast the business from the ground up.
Location: Munich Tappz is building AI-native applications powered by large language models.
Konzeption und Umsetzung von AI-Agentic-AI-Architekturen für interne Projekte Entwicklung skalierbarer End-to-End-Lösungen für Generative AI
Founded in 2025, Omnisent is a Munich-based defense technology company developing fully autonomous, Counter-UAS system.
Die Rolle Du bist Backend-Engineer mit mehrjähriger Erfahrung und möchtest den nächsten Karriereschritt in Richtung KI-Integration gehen?
Du besprichst Requirements direkt mit dem Kunden, entwirfst darauf basierend technische Lösungen und arbeitest bei deren Implementierung mit
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces.
vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page. Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society.
Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world.
You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally! Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige134 geprüfte Stellen bei 81 Arbeitgebern, 10 davon ortsunabhängig. 77 in der KI-Entwicklung, 35 in Integration & Automatisierung.