5 months ago
Edinburgh, United KingdomStaff+
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 builds a SaaS platform for wealth and investment management firms to aggregate portfolio, market and client data, analyze holdings, and produce client reporting. The company sells software and data integrations used across investment operations, with APIs and a broad partner ecosystem to plug into other tools. Founded in 2009 and headquartered in New York, it is privately held and used by over a thousand firms globally to manage trillions in assets.