Senior AI Engineer (m/f/d) at Redcare Pharmacy

Cologne, North Rhine-Westphalia, Germany -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Generative AI, MLOps, Software Engineering, Cloud Infrastructure, Data Pipelines, Model Monitoring, Technical Roadmap Planning, AI Governance, Scalable System Design

Industry

Retail Pharmacies

Description

Company Description 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: This is a unique opportunity to shape how AI drives real impact in digital healthcare at Redcare Pharmacy. You will build scalable and innovative solutions that directly influence patient outcomes and business operations. As part of a highly collaborative environment, you will take end-to-end ownership of AI initiatives and play a key role in defining how intelligent systems are embedded across the organisation. We look for someone who combines strong software engineering background with applied AI expertise and enjoys turning ambitious ideas into reliable real-world solutions. Job Description About the tech stack: Modern Machine Learning frameworks, Generative AI technologies, scalable data platforms, cloud infrastructure and MLOps tooling that support the full lifecycle of production AI systems. About your tasks: Design, build and evolve scalable ML and generative AI systems that deliver measurable value in customer-facing and operational use cases. Develop robust end-to-end pipelines for training, evaluation, deployment, monitoring, and continuous improvement of AI solutions in production. Collaborate closely with product, engineering, data, and business stakeholders to bring AI capabilities into core digital healthcare systems and operations Explore and implement cutting-edge AI advancements to continuously enhance innovation and solution effectiveness Take ownership as AI Technical Owner, shaping the technical roadmap and driving the full AI lifecycle across strategic initiatives Contribute to and adhere to our governance, experimentation, model quality, versioning, observability, and compliance practices in a regulated environment Qualifications About you: Strong experience in building production-grade Machine Learning and Generative AI solutions, with a focus on production-ready systems You enjoy working at the intersection of technology, healthcare, and business impact A mindset of ownership and curiosity, with a drive to explore new AI innovations You value collaboration and don’t like solving complex challenges on your own 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. Remote Type: Data & AI

Responsibilities

Design and build scalable Machine Learning and Generative AI systems to improve customer-facing and operational healthcare use cases. Take end-to-end ownership of the AI lifecycle, from technical roadmapping to deployment and monitoring in a regulated environment.