(Senior) GenAI Engineer

We are building production GenAI applications that solve real business problems across Abacus. As part of the AI for Automation team within Data, Analytics & AI, you will help turn strong use cases into reliable, scalable solutions with measurable business impact. You will design, prototype, and ship end-to-end AI solutions together with engineers, data scientists, delivery leads, and business stakeholders.

Your main responsibilities include

• Designing and implementing GenAI solutions for real business use cases, from classical NLP approaches to LLM-based applications, depending on what the problem actually needs.

• Building and optimizing RAG pipelines: document ingestion, embeddings, vector search and retrieval quality.

• Developing prompt engineering strategies and managing prompt lifecycles for production use.

• Designing and implementing GenAI workflow automations and integrations (Azure AI Foundry, LangGraph, or similar).

• Rapidly prototype new GenAI use cases, validate ideas early with clear success criteria, and iterate before moving solutions into production.

• Collaborating with Delivery Leads, Data Engineers, Platform Engineers, Data Scientists and business stakeholders to deliver end-to-end GenAI applications.

• Taking ownership of solution design and delivery for defined work packages, components or functions within larger AI initiatives.

• Integrating external data sources and APIs to extend AI capabilities.

• Bringing emerging AI techniques, tools and research back to the team and helping us evaluate what is worth investing in.

Fuel for your success in the role

You have shipped GenAI solutions into production and understand the realities behind them: messy data, stakeholder alignment, and continuous evaluation. You are excited about where the field is going and bring that curiosity into the team. You enjoy exploring new technologies while helping junior engineers grow.

• hands-on experience in software engineering or machine learning / deep learning, with a meaningful portion in GenAI or NLP.

• Strong Python skills. You write clean, production-quality code and you review other people’s code constructively.

• Experience building production-grade GenAI applications: RAG pipelines, agent orchestration, fine-tuning, prompt engineering and vector databases.

• Experience working with at least one major cloud platform, such as Azure, AWS or GCP, in a production context.

• Comfortable operating in a modern engineering environment: you have worked with containerization, CI/CD pipelines and cloud-native tooling, and you know your way around at least some of it.

• Comfortable working in English in a professional setting, written and verbal.

A plus for this role

• Familiarity with LLM frameworks (LangChain, LangGraph, or similar) and workflow automation tools (n8n, Azure AI Foundry, or similar).

• Experience working in cross-functional teams with non-technical stakeholders.

Pulled from the full job description Flexible schedule, * A modern office at the EUREF Campus with a wide range of restaurants and cafés, conveniently located next to Schöneberg S-Bahn station

• Flexible working hours and up to 2 days of home office per week
• Annual performance bonus based on company results
• 30 days of annual leave plus an extra day off on New Year’s Eve
• Free Germany Ticket for public transport and subsidized meals on campus, including a daily lunch allowance from Abacus
• Access to Wellhub with a monthly contribution towards gyms and fitness classes, plus the OpenUp mental health platform
• Complimentary private supplementary health insurance
• Free coffee and fresh fruit in the office
• Global team events and an international, collaborative work environment