4 months ago
Responsibilities
- Drive end-to-end execution and delivery of AI-native products from prototype through scalable production services.
- Architect, build, and productionize AI platform components involving LLMs, vector databases, prompt tuning, agentic frameworks, and cross-platform tool use.
- Enforce technical discipline and operational excellence across AI products while improving them through performance metrics and user feedback.
- Lead evaluation and adoption of emerging AI technologies and frameworks.
- Partner with product managers, engineering teams, and engineering leads to translate strategic goals into scalable platform architecture.
- Drive strategic business and technology decisions and provide technical thought leadership, guidance, and best practices.
Requirements
- Bachelor’s or master’s degree in Computer Science, Statistics, Mathematics, or a similar technical or quantitative field, or equivalent practical experience.
- Extensive software engineering experience and a proven track record of owning and shipping complex, production-grade systems.
- Experience shipping and maintaining AI-native products or features, or significant personal projects demonstrating AI expertise.
- Preferred experience with LLMs, agentic systems, and modern AI/LLM technologies such as Databricks, LangChain, or MLflow.
- Preferred advanced understanding of the probabilistic systems underlying modern LLMs.
- Experience building AI products in highly accuracy-sensitive domains such as finance is a plus.
- Applicants must have and maintain the right to work in the United Kingdom from their first day of employment.
Tech Stack
DatabricksMLflow
Categories
About Addepar
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on $9 trillion in assets. Its open platform integrates with 700 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, São Paulo and Singapore.