We are looking for a Software Engineer – RAG, Knowledge Graphs & Agentic Systems (m/f/d) (unlimited, full-time) Join our team at our location in Berlin, Baden-Baden, Verl or Tallinn – flexible working conditions available
(Y)our Mission: You will work embedded in our product and domain teams, building the AI-driven features that directly reach users. Your focus lies on RAG pipelines, knowledge graphs, context engineering, and multi-step agentic workflows. You translate AI capabilities into practical, reliable, and scalable product functionality. You will play a key role in developing Riverty’s AI platform to accelerate software engineering productivity. You will design and implement AI-driven solutions based on Large Language Models, agentic architectures, and knowledge graphs – building the foundation for automation and intelligent developer workflows across our tech organization.
Your key responsibilities: Build and optimize RAG pipelines, including retrievers, embeddings, indexing workflows, and evaluation logic. Integrate and leverage knowledge graphs to provide structured context for AI systems and agents. Implement agentic multi-step workflows using MCP clients, orchestration logic, and supporting tooling. Develop prompting strategies, chunking logic, and context preparation aligned with real product requirements. Integrate AI models into existing Riverty platforms. Conduct performance tuning, benchmarking, and cost optimization for RAG and agentic patterns. Work closely with Platform Engineers to adopt shared SDKs, gateway patterns, and architectural standards. Maintain clear documentation and contribute to a shared understanding of best practices in context engineering.
Your profile: Strong software engineering fundamentals in Java, Python, or TypeScript. Experience or strong motivation to work with RAG pipelines, retrieval systems, vector stores, or graph technologies. Ability to translate AI capabilities into real, user-facing product features. Structured, reliable working style with strong ownership and focus on delivery. High affinity for data-driven systems, search logic, and context architectures. Collaborative mindset and clear communication in cross-functional environments. Fluent in written and spoken English.