About the job

About Redcare Pharmacy:

As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today.

About the role:

As an AI Solutions Engineer or AI Enablement Engineer (m/f/d), you will help bring practical AI innovation into the heart of our ecommerce and business operations. You will work closely with business, data and platform teams to discover high-value opportunities, shape smart AI solutions and turn ideas into prototypes that can create real impact for our teams and customers.

About the tech stack:

You will work with a modern data and AI ecosystem, including Azure Databricks. Python, RAG, vector databases, Kubernetes, ChatGPT, Claude and other LLMs, and different workflow automation tools to design, prototype and scale practical AI solutions across the business.

Job Description

About your tasks:

• You will partner with business teams to identify high-value AI use cases across company functions, translating business needs into clear solution ideas.
• You will design and build AI-powered solutions using large language models, AI assistants, APIs, prompt engineering, retrieval-augmented generation, AI agents and workflow automation.
• You will collaborate with data engineering and platform teams to connect AI solutions to trusted enterprise data and enable scalable use through Azure Databricks capabilities.
• You will rapidly build prototypes and proof-of-concepts to validate business value, technical feasibility and user experience before moving solutions closer to production.
• You will support change management and user adoption, helping stakeholders understand, test and successfully use new AI-enabled workflows.
• 
  

Qualifications

About you:

• A bachelor’s degree or higher in computer science, AI engineering, data engineering, or a related technical field.
• You bring hands-on experience in Generative AI solution design, prompt engineering and LLM application development.
• You are confident working with Python, AI agents and workflow automation tools as well as modern data platforms such as Azure Databricks.
• You enjoy turning complex business processes into practical AI solutions and feel comfortable facilitating conversations with different stakeholders.
• You care about building AI solutions that are useful, reliable and adopted by real users — not just impressive in a demo.
• Fluency in English; German language skills are a plus but not mandatory.
• 
  

Additional Information

About your benefits:

In order to provide you with the best possible support for your individual needs - whether it‘s living a healthy life, having enough time for your family, or developing your skills - we offer a wide range of different, site-specific benefits:

• Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU.
• Personal development: Grow! We support and encourage your individual development through various in- and external trainings.
• Redcare events: We promote teambuilding through creative team events, and celebrate our successes together at regularly scheduled parties.
• Corporate pension plan: We offer a company pension scheme and have a dedicated external consultant to offer you the best guidance and advice.
• Mental Health: Get quick and professional help from psychologists of nilo if you feel overwhelmed in private or professional life. Anonymous and free of charge.

AI and Generative AI Engineer with over two years of experience designing, building, and deploying production-grade Large Language Model systems, AI agents, and Retrieval-Augmented Generation pipelines. Skilled in LangChain, LangGraph, Hugging Face, FastAPI, and multi-agent architectures, having delivered 4+ production applications while reducing AI workflow latency by approximately 30 percent and improving accuracy by approximately 35 percent. Brings strong enterprise engineering discipline from Accenture, having supported 25 or more projects with up to 80 percent process automation, combined with a solid foundation in deep learning, vector search, and cloud-based deployment. Holds a Master of Science in Applied Artificial Intelligence from Cranfield University, United Kingdom, and is available to join immediately.