4 hours ago
Edinburgh, United KingdomSenior
Responsibilities
- Drive end-to-end delivery of AI-native products from prototypes to scalable production services.
- Architect, build, and productionize core AI platform components involving LLMs, vector databases, prompt tuning, agentic frameworks, and agent capabilities such as MCP, cross-platform tool use, 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 production systems.
Requirements
- Extensive professional backend software engineering experience with technologies such as Python, Golang, gRPC, AWS, and Kubernetes.
- Proven experience owning and shipping complex, production-grade systems.
- Experience shipping and maintaining AI-native products or features, or significant personal AI projects.
- Bachelor’s or master’s degree in computer science, statistics, mathematics, or another quantitative field, or equivalent experience.
- 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.
Tech Stack
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.