(Senior) LLM / AI Engineer (m/f/d) Predictive Maintenance Agent

Allgemeine Qualifikationen und Stellenbeschreibung

## Your Responsibilities - AI Agent Design: Design and implement LLM-based agents that perform multi-step reasoning, tool invocation, and structured data analysis with reliability and determinism. - Data Analysis Automation: Build systems that translate natural-language requests into complex analytical workflows over factory and production-line data. - System Integration: Integrate AI agents with internal data collection, storage, and monitoring systems used in industrial production environments. - Production Readiness: Ensure AI systems are testable, observable, and maintainable through robust evaluation, monitoring, and versioning practices. - Predictive Intelligence: Support predictive maintenance and anomaly detection use cases by enabling data-driven analysis and model interaction through AI agents. - Deployment Collaboration: Work closely with other teams during on-site deployments to validate, refine, and operate AI systems under real-world constraints. ## Essential Skills - Python Engineering: Strong Python skills for production systems, including testing, packaging, and maintainable codebases. - Applied Data Analysis & ML: Proven experience with applied data analysis and machine learning, including statistics, data exploration, model tuning, evaluation, and deployment. - LLM Agent Development: Hands-on experience building LLM-based agents involving tool calling, code generation, multi-step reasoning, reliability or guardrails, and agent efficiency. - Agent Frameworks & RAG: Experience with LangChain, LangGraph, or equivalent frameworks, and with retrieval-augmented generation (RAG) systems. - Multimodal Data Analysis: Familiarity with time-series analysis, image processing, and multimodal LLM or VLM agents involving text and images. - Data Systems & Operations: Strong database fundamentals and SQL, experience with natural-language-to-database querying (NL2SQL or semantic querying), and familiarity with MLOps or LLMOps practices such as evaluation, monitoring, tracing, and versioning. - Deployment Readiness: Willingness to travel for on-site deployments. ## Beneficial Skills - Industrial Predictive Maintenance: Experience with predictive maintenance or anomaly detection in industrial environments, including multimodal data sources. - System Integration: Experience designing or integrating REST-based APIs in production systems. - Language Skills: Chinese language proficiency. ## What we offer - Dynamic high-tech company combined with financial soundness and world class investors. - Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. - Lots of development opportunities in the context of our continued growth. - Challenging tasks and impactful projects alongside experts that enable professional and personal growth. - Corporate Benefits Program that covers health, mobility and learning with 100 € net per month. - Modern office facilites with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.