CEO BE.servicesOPC UA / Edge AIoT / Embedded Software Your mission We’re building an edge AI product for the industrial automation sector — combining real‑time data, embedded devices, and on‑device intelligence. You’ll take ownership of all AI functionality within our product: from data processing and stream learning algorithms to deployment and performance optimization on the edge. This is a hands‑on engineering role with real impact — you’ll be shaping how industrial systems learn and adapt directly on the device. We need you Build and optimize edge AI modules for real‑time stream learning and deep learning inference — covering anomaly detection, forecasting, audio, and vision tasks Develop robust and efficient Go and Python code running in Docker containers on Linux‑based embedded edge devices Integrate AI components with our product stack and ensure reliable communication via OPC UA, MQTT, and NATS Optimize AI modules for performance and resource efficiency in constrained environments Ensure performance, reliability, and efficiency in constrained edge environments Take technical ownership of AI features, guide architectural decisions, and collaborate with other engineers to uphold high technical standards You are a good fit for us Proven experience building and deploying AI/ML systems in production — ideally on embedded or edge devices Proficiency in Go and Python Solid understanding of online learning, real‑time signal processing, and time‑series analysis Hands‑on experience with Linux, Docker, CI/CD, and performance profiling Comfortable working close to hardware and optimizing for edge performance Independent, pragmatic, and delivery‑focused Strong sense of ownership, adaptability, and technical curiosity Excellent communication skills and a customer‑oriented mindset Fluency in English and German (both written and spoken) Bonus points Familiarity with OPC UA, MQTT, NATS, or industrial data protocols Background in automation, robotics, or IoT environments Experience with embedded frameworks or low‑level performance tuning We offer you Real Impact: Own a core technical area in a fast‑growing AIoT product Technical Autonomy: Influence architecture, tools, and system design from day one Visible Results: Your work runs on real machines in real factories Agile Culture: A diverse, international team with short decision paths and a strong engineering mindset High Velocity: We move fast, iterate quickly, and focus on what truly works Modern working environment (flexible working hours, home office) Working with the latest technologies Flat management structures Modern office in the city center JobRad Location: Allgäu, the best work/life balance region Attractive salary models The security of a rapidly expanding employer Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at BE.services GmbH by 2x Sign in to set job alerts for “Artificial Intelligence Engineer” roles. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr