Design, develop, and integrate AI/ML solutions, with a focus on Generative AI (GenAI), LLMs, and multi-modal (chat, voice) interfaces.

Design privacy-first AI workflows that comply with GDPR, anonymization, and auditability (e.g., PII scrubbing, user consent).

Senior AI Developer

Your responsibilities

• Design, develop, and integrate AI/ML solutions, with a focus on Generative AI (GenAI), LLMs, and multi-modal (chat, voice) interfaces.
• Architect and deliver customer-facing AI agents that provide real-time, intelligent automation for support, marketing, or transactional use cases.
• Build and maintain multi-model pipelines for inference, fine-tuning, chunking, and embedding-based retrieval (RAG) systems.
• Deploy, monitor, and optimize AI models in production-grade environments using Kubernetes and Azure-native services.
• Integrate GenAI agents with cross-company APIs, backend services, and partner systems through MCP for dynamic tool use and data enrichment.
• Collaborate closely with DevOps engineers to implement scalable CI/CD pipelines, infrastructure-as-code, and secure AI workload automation.
• Evaluate and integrate open-source and proprietary LLMs, embeddings, and vector databases.
• Optimize prompt engineering strategies and implement orchestration tools (e.g., LangChain, MCP) to enable complex task execution.
• Build robust model evaluation frameworks, A/B testing environments, and experiment tracking for iterative development.
• Design privacy-first AI workflows that comply with GDPR, anonymization, and auditability (e.g., PII scrubbing, user consent).
• Guide the integration of STT, TTS, and NLU/NLG components into unified voice/chat interfaces.
• Mentor junior developers, shape internal best practices, and contribute to GenAI technical roadmap.

Our requirements

• Degree in Computer Science, Data Science, Artificial Intelligence, or a related field or adequate experience.
• Several years of experience in AI and Machine Learning development, ideally in Customer Care solutions.
• Strong proficiency in Python and NLP frameworks.
• Hands-on experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Bot Services).
• Solid understanding of cloud architectures and microservices on Azure.
• Experience with CI/CD pipelines and MLOps.
• Analytical mindset and problem-solving capabilities.
• English (B2 level)
• German (language)