AI Developer - LLM, RAG & Cloud Infrastructure -

• Develop intelligent automation using LangChain, LangGraph, and RAG-based architectures.
• Build scalable AI systems that transition from prototype to production.
• Architect and optimise high-performance AI workflows.
• Implement advanced prompt engineering and tool-augmented generation.
• Integrate vector databases and retrieval systems into enterprise products.
• Contribute to CI/CD processes for ML models and cloud-native deployments.
• Monitor, optimise, and scale AI systems within Azure environments.

• Proven experience developing and deploying LLM-based solutions.
• Strong programming skills in Python and/or TypeScript.
• Experience with vector databases and RAG architectures.
• Familiarity with cloud-native AI deployments (Azure preferred).
• Passion for building intelligent, production-ready AI systems.
• Ability to move solutions from experimentation to scalable implementation.

• Flexible working model (Hybrid or 100% Remote).
• Opportunity to shape AI architecture in a growing product environment.
• Modern Azure cloud infrastructure.
• Investment in innovation and emerging AI technologies.
• Collaborative, agile engineering culture.

Our client is an innovative, venture-capital backed German software company specialising in digital workplace solutions. They develop SaaS applications and enterprise add-ins that enhance collaboration, automate business workflows, and integrate systems across the Microsoft 365 ecosystem. The company is heavily investing in AI-driven product innovation, building intelligent automation solutions and next-generation email workflow systems within a modern Azure-based cloud environment.