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About the Role

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.

Responsibilities

• Designing and implementing GenAI solutions for real business use cases, from classical NLP approaches to LLM-based applications.
• 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 evaluate what is worth investing in.

Requirements

• Shipped GenAI solutions into production and understand the realities behind them: messy data, stakeholder alignment, and continuous evaluation.
• Hands-on experience in software engineering or machine learning / deep learning, with a meaningful portion in GenAI or NLP.
• Strong Python skills; write clean, production-quality code and constructively review others' code.
• 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 (Azure, AWS, or GCP) in a production context.
• Comfortable operating in a modern engineering environment: worked with containerization, CI/CD pipelines and cloud-native tooling.
• Comfortable working in English, written and verbal, in a professional setting.

Skills

• GenAI
• NLP
• Python
• RAG pipelines
• Agent orchestration
• Fine-tuning
• Prompt engineering
• Vector databases
• Cloud platforms (Azure, AWS, GCP)
• Containerization
• CI/CD pipelines
• Cloud-native tooling
• LLM frameworks (LangChain, LangGraph)
• Workflow automation tools (n8n, Azure AI Foundry)

Location

• Onsite (EUREF Campus)

Work Type

• Hybrid
• Flexible working hours

Experience Level

• Mid-level
• Senior

Benefits

• Annual performance bonus
• 30 days of annual leave plus an extra day off on New Year's Eve
• Free Germany Ticket for public transport
• Subsidized meals on campus, including a daily lunch allowance
• Access to Wellhub (gyms and fitness classes)
• OpenUp mental health platform
• Complimentary private supplementary health insurance
• Free coffee and fresh fruit in the office
• Global team events

About the Company

• Building production GenAI applications that solve real business problems.
• Moving Healthcare. Moving You.
• In Abacus Medicine Group, you’ll experience the power of Moving Healthcare.
• With our change mindset, we're moving the industry and improving healthcare as we broaden access to medicine.
• You’ll be part of a caring community of more than 1,750 people across the World.
• With us, you will be valued, empowered, and have a direct impact on driving change.
• Let's access the future of medicine and make a difference together.