(Senior) LLM

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.