Bloomberg’s Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.

At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.

Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.

We are seeking a Senior AI Platform Experiences Software Engineer to help define and build the interaction layer for Bloomberg’s GenAI platform. This role focuses on designing and developing systems, APIs, and interfaces that enable engineers to build, operate, and interact with LLMs, agents, and AI-driven workflows at scale. It sits at the intersection of frontend engineering, platform infrastructure, and AI systems.

Our teams build GenAI-native platform experiences, including agentic UI interaction models, streaming and structured outputs, and developer workflows across the agent development lifecycle (ADLC). We leverage and contribute to open-source technologies including React, Vite, GraphQL, Kubernetes, Docker, and emerging GenAI frameworks.