Sr. Software Engineer - Reference Data

Experteer 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. Pay / Benefits * 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 Tasks * 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) Key requirements *

Collaborate 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 Tasks * 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) Key requirements *