2 months ago
Edinburgh, United KingdomSenior
Responsibilities
- Drive AI-native products from prototype through scalable production services.
- Architect, build, and productionize AI platform components involving LLMs, vector databases, prompt tuning, agentic frameworks, MCP, web browsing, and computer use.
- Enforce technical discipline and operational excellence across AI products.
- Iterate on AI products using performance metrics and user feedback.
- Evaluate and adopt new AI technologies and frameworks.
- Partner with product managers and engineering teams to translate strategic goals into technical implementations.
- Help define and implement platform architecture for growth and scalability.
- Make strategic business and technology decisions and provide technical guidance and best practices.
Requirements
- Bachelor’s or master’s degree in computer science, statistics, mathematics, or a similar quantitative or technical field, or equivalent practical experience.
- Extensive software engineering experience and a proven record of owning and shipping complex, production-grade systems.
- Experience shipping and maintaining AI-native products or features, or significant personal AI projects demonstrating equivalent capability.
- Preferred experience with LLMs and agentic systems.
- Preferred hands-on experience with Databricks, Langchain, or MLFlow.
- Preferred advanced understanding of the probabilistic systems underlying modern LLMs.
- Experience building AI products in accuracy-sensitive domains such as finance is a plus.
Benefits
- The role is based in the United Kingdom and applicants must have the right to work there from their first day of employment.
- Visa sponsorship is not available.
- Addepar provides reasonable accommodation for applicants and employees with disabilities.
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.