IT & Software

Staff Software Engineer - Reference Data - AI/ML (UK)

Addepar

Edinburgh · City of Edinburgh · United Kingdom

Overview

In this role you will lead AI-enabled product development on Addepar’s Reference Data platform, turning data reconciliation and curation into scalable, production AI services. You’ll own end-to-end delivery of AI-native capabilities, working with LLMs, agentic systems, and platform components to empower wealth-management workflows. You’ll collaborate with product and engineering teams to translate strategies into robust, high-performance solutions and maintain shipping velocity. This is a high-impact, frontier-ai leadership position.

Responsibilities
  • Own end-to-end delivery of AI-native products, from prototype to scalable production services
  • Architect, build, and productionize AI platform components (LLMs, vector DBs, prompt tuning)
  • Develop agentic frameworks and core agent capabilities (MCP, cross-platform tools, web browsing, computer use)
  • Enforce technical discipline and operational excellence across AI products
  • Iterate rapidly on AI products using performance data and user feedback
  • Evaluate and adopt new AI technologies and frameworks to stay at the frontier
  • Partner with product managers and engineering teams to convert goals into technical solutions
  • Collaborate with engineering leads to define scalable platform architecture
  • Provide technical leadership and prescriptive guidance across the team
  • Assess strategic business and technology decisions for customers and the company
Key requirements
  • B.S. or M.S. in Computer Science or equivalent practical experience
  • Extensive software engineering experience
  • Proven track record shipping complex, production-grade systems
  • Experience shipping AI-native products or demonstrated passion via personal AI projects
  • Deep ownership mindset and strong execution with high velocity
  • Bias for action and ability to ship rapidly with feedback
  • (Preferred) Experience with LLMs and agentic systems
  • (Preferred) Hands-on experience with Databricks, Langchain, or MLFlow
  • (Preferred) Understanding of probabilistic systems underlying modern LLMs
  • (Preferred) Experience building AI products in finance is a plus
  • ownership mindset
  • strong collaboration
  • bias for action
  • LLMs and agentic frameworks
  • vector databases
  • prompt tuning

Reference: WJ-747_30177193

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