Software Engineer – Python (AI) (m/f)

We are developing next-generation digital products that bring AI capabilities into production. Building new intelligent features from scratch to improve and automate existing processes, and implementing a data protection platform for secure data exchange and the safe integration of external AI. In this role, you will be the driving force behind the AI layer of our platform. You will implement and integrate the intelligent capabilities that make our products smart: working with large language models (LLMs), autonomous agents, RAG pipelines, ML model integration, and AI-driven processing workflows. Your work will bring AI from research into production, making it reliable, observable, and valuable for end users. You will work within a cross-functional agile team alongside backend engineers and FE product developers to iteratively design, build, and ship AI-driven features. We're looking for engineers who are passionate about applied AI, take ownership of outcomes, and care about delivering real value in short cycles. Key Responsibilities AI Platform Engineering - Design and build scalable backend services and APIs using Python (FastAPI) to support ML model integration, inference pipelines, and intelligent processing workflows - Implement and orchestrate LLM-based agents, RAG pipelines, and autonomous AI workflows within the platform - Integrate machine learning models into production services with a focus on reliability, latency, and observability - Work with AI/ML frameworks and tools (LangChain, LlamaIndex, Hugging Face) to build and deploy intelligent features Data & Knowledge Systems - Work with vector databases, embedding models, and semantic search to power knowledge retrieval and intelligent data interaction - Build data pipelines that move, transform, and enrich data for AI processing across distributed systems - Develop AI-driven features for secure data exchange and privacy-preserving data sharing, including safe integration of external AI systems - Contribute to continuous integration and continuous delivery (CI/CD) practices that keep the team shipping reliably Ownership & Collaboration - Take ownership of features end-to-end: from concept and prototyping through implementation, testing, deployment, and production monitoring - Contribute to our ontology-based platform approach for intelligent data organization and retrieval

- 3+ years of backend development experience with Python - Proficiency with Python web frameworks (FastAPI, Flask) - Experience with LLM integration, prompt engineering, and AI agent frameworks (LangChain or similar) - Experience building and deploying RAG (Retrieval-Augmented Generation) pipelines - Familiarity with ML model serving, inference optimization, and integration patterns - Experience with vector databases and embedding models - Experience designing and building APIs at scale - Experience with data modeling - Understanding of microservice patterns and inter-service communication - Experience with containerization (Docker) and deployment workflows - Proficiency with Git, pull request workflows, and collaborative code reviews - Strong data protection and security awareness - Excellent communication skills and comfort with cross-functional collaboration in an agile environment Preferred Qualifications: - Experience with ML/AI frameworks (PyTorch, TensorFlow, Hugging Face Transformers) - Working knowledge of Java and Spring Boot - Experience with NoSQL databases (Neo4j, Elasticsearch, Redis) - Understanding of CI/CD pipelines and automated testing for AI/ML services - Knowledge of testing frameworks (pytest) - Experience with NLP, generative AI, and conversational AI applications - Familiarity with ontology-based data modeling and knowledge graphs - Familiarity with infrastructure-as-code, monitoring, and observability tools - Graduated from FER, PMF, FOI, FESB, TVZ, or similar technical institutions