Full Stack Developer

Your role

Do you have a curious mind, want to be involved in the latest technology trends and like to solve problems that have a meaningful benefit to hundreds of users across the bank? Join our Tech Services- Group Chief Technology Office team and become a core contributor for the execution of the banks global AI Strategy, particularly to help the bank deploy AI models quickly and efficiently!
We are looking for an experienced Full-Stack Software Engineer to drive the delivery of an innovative ecosystem of tools and services. In this AI focused role, you will contribute to the development of a state-of-the-art Agent/Model Development, Deployment and Governance environment for classic, generative and agentic AI.

Responsibilities include:
• contribute to an SDK (Software Development Kit) to automatically capture Data Product, Dataset and AI / ML model metadata. Also, leverage LLMs to generate descriptive information about assets
• implement user interfaces in ReactJS and TypeScript to display metadata, validation errors as well as agent user interfaces that go beyond chat
• integration and publication of metadata into UBS's AI Use-case inventory, model artifact registry and Enterprise Data Mesh catalogue for discovery and regulatory compliance purposes
• developing APIs and services for AI products, such as for monitoring of models and agents for performance, security and auditability

We work in an agile manner and create appropriate design artifacts as per our inhouse methodology - Agile@UBS

Your team

You will be part of the Enterprise AI Suite team, which is a newly established function within Group Chief Technology Office. We provide solutions to help the firm embrace Artificial Intelligence and Machine Learning. We work with the divisions and functions of the firm to provide innovative solutions that integrate with their existing platforms to provide new and enhanced capabilities. One of our current aims is to help a data scientist get a model into production in an accelerated timeframe with the appropriate controls and security. We offer a number of key capabilities: data discovery that uses AI/ML to help users find data and obtain access a secure and controlled manner, an AI Inventory that describes the models that have been built to help users build their own use cases and validate them with Model Risk Management, a containerized model development environment for a user to experiment and produce their models and a streamlined MLOps process that helps them track their experiments and promote their models.

Your expertise

• phd or Master’s degree in Computer Science or any related advanced quantitative discipline
• 5+ years industry experience with Python / Pydantic / FastAPI, ReactJS, Azure fundamentals / Kubernetes and Gitlab
• experience in data engineering frameworks (Databricks / Kedro / Flyte), ML frameworks (MLFlow / DVC) or Agentic Frameworks (Langchain, Langgraph, CrewAI, pydanticAI) is a plus
• ability to produce secure and clean code that is stable, scalable, operational, and well-performing. Be up to date with the latest IT standards (security, best practices). Understanding the security principles in the banking systems is a plus
• ability to work independently, manage individual project priorities, deadlines and deliverables
• willingness to quickly learn and adopt various technologies
• excellent English language written and verbal communication skills