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Über
We’re looking for a Senior AI Engineer who thrives on building real-world Generative AI solutions. In this role, you’ll design and deliver scalable applications powered by LLMs, working with cutting-edge technologies like RAG pipelines, vector databases, and modern cloud platforms.
A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible.
You’ll collaborate closely with data scientists, engineers, and product teams to turn complex business problems into production-ready AI systems. From experimentation to deployment, you’ll own the full lifecycle.
Responsibilities- Design and implement LLM-based applications using modern GenAI frameworks
- Build and optimize RAG pipelines, including advanced retrieval techniques
- Develop and maintain prompt engineering strategies and reusable templates
- Integrate AI solutions with enterprise systems via APIs and orchestration tools
- Work with vector databases to enable efficient semantic search and retrieval
- Deploy AI models into production and ensure scalability and reliability
- Collaborate with cross-functional teams to deliver high-impact solutions
- Evaluate model performance and implement guardrails for safety and quality
- 6+ years of experience in software development, AI, or data-related roles
- Strong knowledge of Machine Learning, NLP, and LLMs
- Hands-on experience with RAG pipelines
- Solid Python experience with libraries such as: Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, Transformers, FastAPI
- Experience with LLM ecosystems (OpenAI, Gemini, Claude, LLaMA, etc.)
- Familiarity with LangChain, LlamaIndex, or similar tools
- Experience working with vector databases (e.g., Pinecone, PGVector, Mongo Atlas)
- Understanding of MLOps and CI/CD pipelines
- Experience deploying models into production xcfaprz environments
- Strong problem-solving and communication skills
- Experience with agent-based frameworks
- Knowledge of GenAI guardrails and evaluation techniques
- Experience with cloud platforms (GCP, AWS, Azure)
- Hands-on experience with Kubernetes / OpenShift
- Background in handling large-scale unstructured data
We learn fast and experiment
We value ownership and collaboration
If you’d like to work in an environment that values trust, innovation, and real impact — don’t hesitate, just apply!
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Sprachkenntnisse
- English
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