AI Strategy & Engineering Expert-Pool

We are building a strong network and ecosystem of leading AI and tech experts to be optimally positioned for upcoming and future client projects. This talent pool serves as a central point of contact for outstanding experts from the entire spectrum of Artificial Intelligence. Whether your focus is on custom LLMs, agentic systems, classic machine learning, modern cloud infrastructure, or strategic governance, we will specifically connect you with demanding mandates as soon as new projects start. Collaboration model with QuBit: https://qubit.ch/quexpert Become part of the New Expert Economy. Possible Roles & Focus Areas in the Pool The profile covers, among others, the following specializations: - AI Strategy & Governance Consultant: Data usage concepts, compliance frameworks, AI safety and strategic AI roadmaps for companies. - AI & LLM Engineer: Development of proprietary AI solutions, fine-tuning of open-source models (e.g., Llama, Mistral), RAG architectures and prompt engineering. - Agentic Systems Specialist: Design and implementation of autonomous AI agents, multi-agent workflows and complex process automation. - AI / Cloud Architect: Design of scalable, secure cloud and on-premise infrastructures for AI workloads. - Machine Learning Engineer: Development, training and deployment of ML/DL models including MLOps and model monitoring. - Agentic Engineering: What you bring (Requirements) We are looking for personalities with a solid foundation in Data Engineering or Software Engineering. Since this pool covers various specializations, you should additionally bring well-founded practical experience in at least two of the following areas: - Business Impact & Customer Interaction: - Strong skills in interacting with customers and stakeholders – from requirements analysis to seamless integration into existing business processes. - Pronounced understanding of business value creation with the aspiration to generate real, measurable impact through technical solutions. - Technical AI Expertise: - Experience in LLM fine-tuning (e.g., PEFT, LoRA, QLoRA), training of own/custom models, and working with frameworks such as PyTorch, Hugging Face, Unsloth, LangChain or LlamaIndex. - Practical know-how with agentic frameworks (e.g., AutoGen, CrewAI, LangGraph) and vector databases (e.g., Qdrant, Pinecone, Milvus, pgvector). - Cloud & Infrastructure: - Proficiency with cloud ecosystems (AWS, Azure, GCP), containerization (Docker, Kubernetes) and MLOps/LLMOps tools for production operations. - Strategy & Governance: - Understanding of data governance, AI ethics, IT security and data protection (e.g., EU AI Act, GDPR) in a corporate context. - Way of Working & Languages: - Independent, solution-oriented and proactive way of working in agile project setups. - Very good German and/or English skills, spoken and written. What we offer & Conditions - Part of a strong ecosystem: Become part of our expert network and receive direct matching for new, suitable project requests. - Flexible project models: Collaboration on an hourly/daily rate basis (contracting) or via clearly defined work packages on a fixed-price basis. - Exciting mandates: Access to demanding projects and clients in the B2B and enterprise environment. - Transparent framework: Clear ground rules and reliable processing. All details on the terms and form of our collaboration can be found at: 👉 qubit.ch/quexpert Find more English Speaking Jobs in Switzerland on Arbeitnow