Senior GenAI Platform Engineer - Artificial Intelligence

Bloomberg
London, UK
23 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Structures Software Debugging Python (Programming Language) Object-Oriented Software Development Open Source Technology Software Engineering Kubernetes Information Technology Low Latency Machine Learning Operations

Job description

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 looking for Senior GenAI Platform Engineers with strong expertise and passion for building platforms, especially for GenAI systems. As a Senior GenAI Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed GenAI development life cycle to enable the building and maintenance of our ML systems. Our teams make extensive use of open source technologies such as Kubernetes, KServe, MCP, Envoy AI Gateway, Buildpacks and other cloud-native and GenAI technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source. Join the AI Group as a Senior GenAI Platform Engineer and you will have the opportunity to: Architect, build, and diagnose multi-tenant GenAI platform systemsWork 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 We are looking for a Senior GenAI Platform Engineer with: 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 toolsA Degree in Computer Science, Engineering, Mathematics, similar field of

Requirements

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 We give back to the technology community and you can read more about our outreach at: [1] If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

About the company

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, Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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