Bloomberg Law is transforming the legal industry through AI-powered products that help legal professionals research, analyze, draft, and make decisions faster. Our mission is to provide the foundational AI platform that enables teams across Bloomberg Law to build and deploy innovative AI solutions while maintaining the reliability, compliance, and scale expected of Bloomberg products.
The Senior Software Engineer will be part of the AI Platform Engineering group within Bloomberg Law, responsible for developing and operating the cloud-native platforms, APIs, developer tooling, and infrastructure that power AI products across Legal, Tax, Government, and other business units. The team focuses on building self-service platforms, agent-ready infrastructure, and developer experiences that accelerate AI product development while abstracting the complexity of underlying model providers and cloud environments.
As a Senior Software Engineer on the AI Platform Engineering team, your mission is to design and build reliable, scalable, and model-agnostic platforms that enable engineers to rapidly develop, deploy, and operate AI-powered applications. Our culture of intellectual curiosity, technical excellence, ownership, and adaptability allows us to stay at the forefront of a rapidly evolving AI landscape. A successful candidate will be self-motivated, highly collaborative, comfortable with ambiguity, and excited to solve complex engineering challenges.
Legal AI is one of the most exciting and fast-moving areas in technology today. If you are interested in building the foundational platforms that power the next generation of AI products, we'd love to hear from you.
Design and build scalable platform services, APIs, and developer tooling that support AI applications across Bloomberg Law.
Evaluate emerging AI technologies and adapt platform capabilities to support new workflows and development patterns.
6+ years of professional software engineering experience.
A degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Experience building internal developer platforms, platform-as-a-service (PaaS) solutions, or engineering productivity tooling.
Curiosity to new technologies and adapt quickly in a rapidly evolving technical landscape.
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