Senior AI Engineer - Generative AI & Search - Artificial Intelligence

Location London Business Area Engineering and CTO Ref # 10050592 Description & Requirements Bloomberg’s Engineering AI department has 450+ AI practitioners building highly sought-after products and features that often require novel innovations. We are investing in AI to build better client experiences and intelligent financial workflow solutions using technologies such as transformers, large language models, agentic architectures and modern evaluation frameworks. We're looking for highly skilled Machine Learning and Software Engineers to join us. 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 Looking For Senior AI Engineers With Expertise And a Passion For Generative AI, Large Language Models, NLP And Agentic AI Systems To Join Our AI Engineering Team. Our Teams Are Working On Exciting Initiatives Such As - Developing and deploying robust LLM-powered and agentic AI systems, curating high-quality data and tasks for model development and evaluation, and building evaluation frameworks that enable rapid iteration and continuous improvement based on real-world user interactions. - Designing and implementing tools that enable AI agents to handle complex client requests, interact effectively with tools and APIs, and complete multi-step workflows, while shaping Bloomberg’s generative AI ecosystem and scaling these solutions to support thousands of users. - Building comprehensive evaluation approaches for LLM-powered applications and agents, covering areas such as task completion, tool-use accuracy, response quality, reliability, safety, latency and cost. - Leveraging both traditional ML approaches and Generative AI to prototype, build and maintain high-performing, client-facing applications that deliver timely and relevant financial insights. - Building robust APIs and infrastructure to support model interaction, agent orchestration and tool integration, while maintaining system stability, observability and reliability. You’ll Have The Opportunity To - Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client-facing products, enhance analytical capabilities and improve user experience. - Architect, develop and deploy production-quality LLM-powered and agentic AI systems, emphasizing both ML innovation and solid software engineering practices. - Continuously identify areas for improvement within our AI systems, proactively experiment with new ideas, and rapidly implement promising solutions, even when improvements rely purely on engineering without direct ML involvement. - Design, train, evaluate, test and iterate on models, agents and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment, monitoring and operationalization. - Develop rigorous evaluation methodologies for AI agents, combining automated, model-based and human evaluation approaches where appropriate. - Stay at the forefront of research in Generative AI, NLP, agentic systems and LLM evaluation, incorporating relevant innovations into practical, impactful solutions. - Represent Bloomberg at industry events, scientific conferences and within open-source communities. You’ll Need To Have - Proven practical experience solving real-world problems using Generative AI, large language models, NLP and agentic AI technologies, including experience building or evaluating LLM-powered applications or agents. - Experience with one or more areas such as tool use and function calling, agent orchestration, multi-step workflows, automated evaluation, LLM-as-a-judge methodologies, guardrails, observability or human-in-the-loop evaluation. - Significant industry experience or a relevant academic background, such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics or Engineering. We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications. - Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms and a data-driven problem-solving approach. - Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs. We give back to the technology community and you can read more about our outreach at: [1] http://www.techatbloomberg.com/ai 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. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.