Staff Software Engineer (Reference Data, AI/ML)

Requirements

• B.S., or M.S. in Computer Science or similar technical field of study (or equivalent practical experience)
• Extensive software engineering experience
• Proven track record of owning and shipping complex, production-grade systems
• Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI
• Deep ownership mindset, seeing projects through to completion and raising the bar for execution across the team
• A strong bias for action, with a passion for shipping rapidly and iterating with feedback
• BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience
• (Preferred) Specific experience with LLMs and agentic systems
• (Preferred) Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow
• (Preferred) Advanced understanding of the probabilistic systems underpinning modern LLMs
• (Preferred) Experience building AI products in highly accuracy-sensitive domains such as finance is a plus

What the job involves

• We are currently seeking a Staff Software Engineer with AI/ML background to join our Reference Data team
• The reference data team at Addepar is responsible to manage the data reconciliation and curation process for market data providers to build a single source of truth and provide alignment across public and alternative investment data products for the client to manage their investment portfolio
• As an engineer on the team you will partner with product teams at Addepar to understand their business needs
• The team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly
• You will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform
• This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping
• You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems
• Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity
• Architect, build, and productionize core components of our AI platform – including:
• LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.)
• Agentic frameworks
• Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use
• Enforce technical discipline and operational excellence for all of our AI products
• Rapidly iterate on AI products based on performance metrics and user feedback to drive continuous improvement
• Lead the evaluation and adoption of new AI technologies and frameworks to keep Addepar on the frontier of the industry
• Partner with product managers and other engineering teams to translate strategic goals into technical realities, abstracting AI complexity so they can iterate quickly
• Collaborate closely with our engineering leads to define and implement our platform architecture to meet Addepar’s growth and scalability needs
• Evaluate and drive strategic business and technology decisions for the company and for customers
• Be a technical thought leader in multiple areas who educates and shares best practices. Your contributions deliver strategic and prescriptive guidance

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