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Addepar is a global data and AI platform serving over 1,500 investment firms across 60 countries, managing nearly $10 trillion in assets. The company unifies portfolio, market, and client data to deliver AI-powered insights within investment workflows, integrating with 650+ software and data partners.
You will join the AI Platform team, which is focused on building disruptive, innovative AI solutions across Addepar's product suite. As a Senior AI Engineer, you will architect, lead, and drive execution of core AI capabilities powering the platform. This is a high-impact role for an engineer who thrives on applied AI and maintains relentless focus on shipping production systems.
Key responsibilities:
- Drive end-to-end execution and delivery of AI-native products, from prototype to scalable production services with high velocity
- Architect, build, and productionize core AI platform components including LLMs and ecosystem (vector DBs, prompt tuning), agentic frameworks, and core agent capabilities (MCP, cross-platform tool use, web browsing, computer use)
- Enforce technical discipline and operational excellence across all AI products
- Rapidly iterate on AI products based on performance metrics and user feedback
- Lead evaluation and adoption of new AI technologies and frameworks to keep Addepar at the industry frontier
- Partner with product managers and engineering teams to translate strategic goals into technical realities, abstracting AI complexity for rapid iteration
Requirements:
- Extensive professional experience in backend software engineering with expertise in Python, Golang, gRPC, AWS, and Kubernetes
- Proven track record of owning and shipping complex, production-grade systems
- Proven experience shipping and maintaining AI-native products/features, or demonstrable passion through significant personal AI projects
- Deep ownership mindset, seeing projects through to completion and raising execution bar across team
- Strong bias for action with passion for shipping rapidly and iterating with feedback
- BS/MS in Computer Science, Statistics, Mathematics, or equivalent quantitative field, or equivalent professional experience
- Right to work in the United Kingdom from day one (visa sponsorship not available)
Preferred qualifications:
- Specific experience with LLMs and agentic systems
- Hands-on experience with modern AI/LLM ecosystem technologies (Databricks, Langchain, MLFlow)
- Advanced understanding of probabilistic systems underpinning modern LLMs
- Experience building AI products in accuracy-sensitive domains such as finance
