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

Everyone's story matters. Come shape your story with us at Riverty.

But where does that take you?

To one of our 30 hybrid workspaces – designed for exchanging ideas, learning from others, and shaping the way we work. An international community of over 4,000 people, representing almost 80 nationalities across 11 countries. United by one mission: Combining empathy, advanced technology and data-driven insights to keep people and businesses in flow. With payments made for them. So that they don't have to worry about it.

And there's more: We are part of the family-owned Bertelsmann group. Established. Corporate. In a fast-paced industry. We enable flexible payments in various industries, simplifying the financial management of known brands and helping people repay debt to build financial confidence. In short: shaping FinTech.

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, Tallinn, Oslo or Stockholm – 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.
  
  
  

Equal Opportunity Employer Statement

We want to be a fair and inclusive employer. We value the diverse perspectives that a diverse workforce brings to the table. Therefore, we are actively looking for people who enrich our company through their identity, background and personal experiences, with or without a disability.

Benefits:

• At Riverty, you can be who you are. We are committed to creating an inclusive environment and a culture of appreciation, enriched by our employee networks.
• Prioritize your health with supported sports and leisure activities.
• Take advantage of our numerous training and development opportunities! Enhance your skills with training offered by the Bertelsmann University, language courses, or leadership training.
• Benefit from our discounts on Bertelsmann products and financial incentives.
• With our diverse work models, you can tailor your work to your preferences. Take advantage of mobile office, flexible working hours, and part-time models.