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

At Riverty, we believe that everyone should be in control of their own financial situation. Our shared commitment is to make financial solutions more innovative, empathetic and user-friendly to empower financial growth for everyone. To do this, we rely on 50 years of experience and the commitment of over 5,000 creative minds, innovators and explorers in 11 countries.

Are you ready?

As part of our community, you will have the opportunity to develop your skills and transform the world of finance together with us. We create an environment where you can evolve personally and benefit from our flexible working conditions and work-life balance.

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.

Your 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.

Benefits

Mobile Office: Opportunity to work from home

Discounts & Extras: Exclusive Bertelsmann discounts and financial benefits, e.g., 1,500 EUR referral bonus

Flexible Working Hours and Models: Customize your working hours to suit your needs

Training & Development: A variety of (online) courses, from language learning to leadership training, e.g., from Bertelsmann University

Health & Leisure: Supported sports and (mental) health programs, e.g. from our partner TELUS Health

Appreciative Environment: Diversity and employee networks enrich our culture

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.

We want to be a fair and inclusive employer. We value the diverse perspectives that a diverse workforce brings to the table.