Technology Analyst- LLM, Python, Agentic framework, Code Assist, NLP, Switzerland - Zurich Switzerland - Careers | Infosys English English French Portuguese Spanish Careers Explore Opportunities Explore Life At Infy Apply now Recruitment fraud alert Explore Opportunities Graduates Experienced Professionals Students/Internships Explore Opportunities by Location Explore Life At Infy About Us Our Culture Voices Infosys Careers Explore Opportunities Jobs in Switzerland Technology Analyst- LLM, Python, Agentic framework, Code Assist, NLP, Switzerland Technology Analyst- LLM, Python, Agentic framework, Code Assist, NLP, Switzerland Apply now Apply now You have successfully copied the job share URL to clipboard! × Job details Work Location Zurich State / Region / Province Zurich Country Switzerland Domain Delivery Interest Group Infosys Limited Company ITL Switzerland Requisition ID 141135BR Job description Role – Technology AnalystTechnology – LLM, Python, Agentic framework, Code Assist, NLPLocation – ZurichCompensation – Competitive (including bonus)Job DescriptionThis role is ideal for someone who has transitioned into AI from a strong tech background and is now contributing to the development and deployment of systems leveraging LLMs, NLP, and agentic frameworks. ResponsibilitiesDesign and implement AI-powered solutions using Large Language Models (LLMs), NLP, and Agentic frameworks.Develop, fine-tune, and integrate models using Python-based AI/ML libraries (e.g., Hugging Face Transformers, LangChain, OpenAI APIs).Build and deploy Code Assist tools and intelligent copilots for software development or business process automation.Collaborate with cross-functional teams including data engineers, business analysts, and product managers to align AI solutions with business goals.Evaluate and implement agent-based systems for workflow orchestration and automation.Ensure scalable, secure, and ethical deployment of AI solutions in production environments.Stay updated with the latest trends in generative AI, open-source models, and responsible AI practices.RequiredTotal Experience 3-5Languages: Python (proficient), knowledge of Java/JS optional but desirableAI/ML: Experience with LLMs (OpenAI, Cohere, etc.), Transformers, NLP pipelinesFrameworks: Agentic frameworks (LangChain, AutoGen, CrewAI, etc.)Tools: Code Assist platforms, Git, Jupyter, APIs for AI integrationCloud Platforms: Experience with Azure, AWS, or GCP for AI workloadsDeployment: Familiarity with containers (Docker), REST APIs, and model monitoringWhy InfosysInfosys is a global leader in next-generation digital services and consulting. We enable clients in more than 56 countries to navigate their digital transformation.With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.“All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.” Apply now Share Company Navigate your next About us Careers Corporate Responsibility Investors Newsroom Alumni Subsidiaries EdgeVerve Systems Infosys BPM Infosys Consulting Infosys Public Services Programs Infosys Foundation Infosys Foundation USA Infosys Science Foundation Infosys Leadership Institute Support Terms of Use Privacy Statement Cookie Policy Safe Harbour Provision Trademarks Site Map Modern Slavery Statement Payment Guide for Suppliers Privacy Notice EMEA Connect with us Copyright © 2025 Infosys Limited Select Country/region Australia Austria Belgium Brazil Bulgaria Canada Chile China Costa Rica Croatia Czech Denmark Estonia Finland France Germany Hong Kong Hungary India Ireland Italy Japan Liechtenstein Latvia Lithuania Luxembourg Malaysia Mauritius Mexico New Zealand Norway Peru Philippines Poland Portugal Romania Russia Singapore Slovakia Slovenia South Africa South Korea Spain Sweden Switzerland Taiwan The Netherlands United Arab Emirates United Kingdom (UK) United States