About the Team
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. The team is 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.
Responsibilities
•Architect, build, and diagnose multi-tenant GenAI platform systems
•Work closely with GenAI application teams to design seamless workflows for continuous model training, inference, and monitoring
•Interface with GenAI experts to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platforms
•Collaborate with open-source communities and GenAI application teams to build a cohesive development experience
•Troubleshoot and debug user issues
•Provide operational and user-facing documentation
Requirements
•Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
•Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, SDKs and AI-assisted coding tools
•A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
•An understanding of Computer Science fundamentals such as data structures and algorithms
•An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management
Conditions
Not specified in the posting.
