Job description: Design and develop AI-driven applications and software architectures using Python Build and deploy Generative AI and Large Language Model (LLM) applications Develop testing and evaluation methodologies for LLM-based solutions Work with Azure OpenAI APIs and related AI services Develop RAG and agent-based AI solutions for different business use cases Explore, preprocess and integrate large structured and unstructured datasets Build APIs and interfaces to integrate AI solutions into existing platforms Ensure applications are production-ready through testing, CI/CD, monitoring and observability Monitor, maintain and continuously improve deployed AI applications Collaborate closely with technical teams and business stakeholders About the customer: You will work alongside AI Engineers, Data Engineers and Quantitative Developers to design and build production-ready AI and Generative AI applications . The role combines strong Python software engineering with hands-on experience in LLMs, RAG, AI agents and modern cloud technologies. Framework: Location: Basel, Switzerland Homeoffice : 50% within Switzerland Workload: 100% Start: 1 December 2026 Duration: 24 months Contract: Temporary / Contract Requirements: Around 5+ years of professional Software Engineering experience , with recent hands-on experience as an AI Engineer, Machine Learning Engineer or similar Strong Python development skills and experience building production-grade applications Proven experience developing and deploying Generative AI / LLM solutions Hands-on experience with LangChain, LlamaIndex or comparable frameworks Experience with prompt engineering and LLM evaluation Practical experience with AI agents / agentic AI frameworks Familiarity with RAG architectures and vector databases such as ChromaDB or Weaviate Experience with cloud environments, ideally Microsoft Azure / Azure OpenAI Good understanding of CI/CD, monitoring, performance analysis and application support Degree in Computer Science, Data Science, Statistics or a related field, or equivalent professional experience Strong English communication skill Nice to have: Experience with FastAPI, Flask or Django Docker or other containerisation technologies Streamlit or Plotly Dash SQL and NoSQL databases Graph databases and graph-based data representations Front-end technologies such as React, Angular, JavaScript, HTML and CSS Previous experience within banking or financial services Contributions to AI/ML open-source projects or relevant AI certifications Master's or PhD in a relevant technical field This is an opportunity to join a highly specialised Advanced Analytics
Senior AI Engineer / Ingenieur - Generative AI / LLM Arbeitgeber: Swisslinx
Swisslinx bietet eine dynamische und innovative Arbeitsumgebung in Zürich, die es Ihnen ermöglicht, an spannenden Projekten im Bereich der strukturierten Produkte zu arbeiten. Unsere Unternehmenskultur fördert Teamarbeit und kontinuierliches Lernen, während wir Ihnen zahlreiche Möglichkeiten zur beruflichen Weiterentwicklung bieten. Genießen Sie die Vorteile eines agilen Arbeitsumfelds, das Kreativität und Eigenverantwortung schätzt und gleichzeitig eine ausgewogene Work-Life-Balance unterstützt.
