Software Engineer - RAG, Knowledge Graphs & Agentic Systems (m/f/d)

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 background in Java, Python, or TypeScript (4+ years)


• 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.

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