Sr. Software Engineer - Reference Data
Addepar · Edinburgh, Scotland ·
Overview As Sr. Software Engineer on Addepar's Reference Data team, you will architect and deliver AI-native capabilities that power our platform. You'll own end-to-end AI product delivery, from prototypes to scalable production services, focusing on reliability and performance.
You'll work with product teams to translate goals into robust AI solutions, shaping the wealth-technology landscape. This role combines hands-on execution with thought leadership in AI across the platform. Responsibilities Drive end-to-end AI product delivery from prototype to production services Architect and productionize core AI platform components (LLMs, vector databases, prompt tuning) Develop agentic capabilities including MCP and cross-platform tool use, web browsing, and computer interactions Enforce technical discipline and operational excellence across AI products Iterate AI products using performance metrics and user feedback for continuous improvement Evaluate and adopt new AI technologies to stay at the frontier Collaborate with product managers and other engineering teams to translate strategic goals into technical solutions Define and implement platform architecture with growth and scalability in mind Provide technical leadership and prescriptive guidance on AI best practices Key requirements B.S. or M.S. in Computer Science or similar field (or equivalent practical experience) Extensive software engineering experience Proven track record shipping complex, production-grade systems Experience shipping/maintaining AI-native products or demonstrable AI-related projects Strong ownership mindset and bias for action Experience with LLMs and agentic systems (preferred) Hands-on experience with modern AI/LLM tools (Databricks, Langchain, MLFlow - preferred) Understanding of probabilistic systems underpinning LLMs (preferred) Experience building AI products in finance or highly accuracy-sensitive domains (a plus) ownership mindset bias for action collaboration LLMs and agentic frameworks vector databases and prompt tuning MCP/cross-platform tool use