GenAI Developer | Switzerland
vor 3 Wochen
We are seeking an exceptional Generative AI Developer to design, build, and deploy large‑scale AI systems that redefine how organizations in Switzerland leverage artificial intelligence. You will join a multidisciplinary team of data scientists, ML engineers, and product innovators working on LLM‑powered applications, retrieval‑augmented generation (RAG) systems, and multimodal AI pipelines (text, image, code, and audio). This is a high‑impact role for a builder—someone who can take GenAI concepts from prototype to production. Key Responsibilities Architect, fine‑tune, and optimize large language models (LLMs) for domain‑specific tasks. Design retrieval‑augmented generation (RAG) pipelines integrating embeddings, vector search, and custom datasets. Develop APIs, microservices, and toolchains to deploy models into production. Collaborate with cross‑functional teams (data, product, and cloud) to align AI capabilities with business outcomes. Build and automate evaluation frameworks for generative model quality, latency, and cost efficiency. Integrate with external AI APIs (OpenAI, Anthropic, Hugging Face, Gemini, etc.) where applicable. Ensure adherence to Swiss and EU data privacy and AI governance standards. Contribute to technical documentation and knowledge‑sharing initiatives across teams. Core Skills & Experience 5+ years in AI/ML development, including at least 2 years in Generative AI. Proficiency in Python and frameworks like PyTorch, TensorFlow, and Transformers (Hugging Face). Experience with LangChain, LlamaIndex, or custom RAG frameworks. Expertise in embedding models, vector databases (FAISS, Pinecone, Weaviate, Milvus), and prompt engineering. Hands‑on deployment experience with cloud AI stacks (AWS SageMaker, Azure ML, GCP Vertex AI). Strong understanding of MLOps, containerization (Docker/Kubernetes), and CI/CD pipelines. Proven experience building production‑ready GenAI apps, not just prototypes. Preferred / Nice to Have Exposure to multimodal AI (text‑to‑image, image captioning, or audio models). Experience with low‑rank adaptation (LoRA), quantization, and model optimization. Familiarity with AI ethics, bias mitigation, and data governance frameworks. Contributions to open‑source AI communities (Hugging Face, GitHub, etc.). Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field. Seniority level Mid‑Senior level Employment type Contract Job function Information Technology Industries IT Services and IT Consulting, IT System Custom Software Development, and Software Development Location: Zurich, Switzerland #J-18808-Ljbffr
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