AI Engineer

About the job

Company Description DRIMCO GmbH develops and markets DRIM, an enterprise software solution for digitalizing the industrial quotation process. DRIM is an intelligent document processing (IDP) platform that automates the expert evaluation of RFQ/tender documents, enabling companies to manage requirements efficiently and reduce bid cycle times. The solution is powered by AI knowledge lifecycle technology to maximize the reuse of company expertise, streamline operations, and improve bid quality. What You’ll Work On: • Build, deploy, and maintain production AI systems • Take ownership of end-to-end ML pipelines (data ingestion, training, validation, deployment, monitoring) • Optimize models for performance, scalability, and reliability • Work closely with founders, engineering and product teams to ship AI features • Monitor live models, handle retraining, and improve model quality over time • Improve our MLOps and deployment infrastructure What We’re Looking For: • 3+ years of experience building and running production AI / ML systems • Strong Computer Science background and understanding in Natural Language Processing / Computer Vision • Solid hands-on experience with Python, PyTorch, SQL, graph databases, load balancing, etc. • Experience tracking experiments and models using e.g. MLflow • Strong understanding of AI foundations, LLMs and model internals • Practical experience deploying AI systems using Docker, docker-compose and Kubernetes • Familiarity with model monitoring, versioning, and CI/CD for ML • Deep understanding and practical experience of basic (Gen)AI approaches, e.g. RAG • Practical experience with multi-agent AI system is a plus. ➕ Nice to Have: • Experience scaling ML systems in production • Strong MLOps mindset • Cloud infrastructure experience (AWS, GCP, Azure) • Experience in a startup or product-driven environment • Experience owning AI features end-to-end production-grade • Experience with MCP / A2A protocol and agentic frameworks is a plus • DevOps experience is a plus • Experience with ETL process is a plus.