Senior AI Engineer

Let's win together

As a Senior AI Engineer, you will lead the end-to-end design and development of intelligent systems that drive real-world value. You will bring deep expertise in large language models (LLMs), Retrieval-Augmented Generation (RAG), and scalable AI infrastructure to deliver features that are reliable, secure, and measurable.

Your Role with us

• AI System Design & Delivery: Build and scale advanced AI systems—including LLM-based pipelines and RAG architectures—into production across cloud-native, microservice-based environments.
• LLM Integration: Own the full lifecycle of LLM features including prompt engineering, fine-tuning, evaluation, orchestration, and real-time inference.
• Retrieval-Augmented Generation (RAG): Implement robust RAG pipelines with vector database integrations (e.g., Weaviate, Pinecone, FAISS), embedding generation, indexing, and retrieval optimization for context-aware applications.
• Software Engineering: Write clean, maintainable, and tested code in Python and/or TypeScript for scalable AI microservices.
• Infrastructure & Deployment: Containerize and deploy AI services using Docker and Kubernetes on Google Cloud Platform (GCP), aligning with best practices in MLOps and DevOps.
• Frameworks & Tooling: Leverage modern AI frameworks like LangChain, LlamaIndex, or Haystack to accelerate development and experimentation.
• Data Engineering Collaboration: Interface with data engineering teams to design and maintain robust data pipelines (ETL) handling unstructured data such as documents and user interactions.
• Monitoring & Observability: Implement logging, monitoring, and continuous evaluation loops for deployed models to ensure performance, reliability, and scalability.
• Cross-functional Partnership: Collaborate closely with Product Managers, Backend Engineers, Designers, and Data Scientists to embed AI capabilities into user-facing applications.

What you bring to the table

• Proven experience deploying and maintaining AI features in production environments, ideally within SaaS or platform teams.
• Strong understanding of LLM concepts, including transformer architectures, RAG, fine-tuning, and LLMOps practices.
• Solid knowledge of vector stores, embeddings, and information retrieval best practices.
• Hands-on experience with GCP, Kubernetes, Docker, and microservice-oriented architectures.
• Proficiency in Python and/or TypeScript, with the ability to deliver production-ready code.
• Familiarity with data privacy, security, and compliance requirements in AI applications.
• A strong problem-solver who thrives in fast-paced, ambiguous environments and takes ownership of complex initiatives.
• Effective communicator and team player, eager to work across disciplines to solve user problems.

What we bring to the table

We use data for the better. We create technology that really helps. At Temedica, we break new ground in digital health and challenge the traditional healthcare model. We believe that individualized treatment is a fundamental right of every patient - so we make it happen! We build medical applications and use artificial intelligence to translate patient behavior into sensible interventions. We also combine our application’s data with data sources from research, social listening and key market providers. Based on a B2B SaaS business model, we so offer novel data monitors that secure previously unknown insights for Pharma and Life-sciences to make personalized medicine reality. Finally!You want more? There are a bunch of things that Temedica offers its employees - and we’re talking real benefits, not equipment, fruits and drinks. Of course we take care of your daily caffeine and vitamin supply while you perform your work on state-of-the-art devices, but there’s much more that we do to support our Temedicans, for example:

• 150€ monthly subsidiary: For whatever makes most sense for you. Starting after the probationary period, you have the freedom to select where to direct your subsidiary from a wide range of options. Whether it's internet at home, a BahnCard or public transport, Kindergarden subsidy, paid time-off, or even your dream workation, the choice is yours to make. And yes, we've also got your back for the long run. Our company pension scheme offers a 50% subsidy, capped at a maximum