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Senior Software Engineer (AI/ML, AI Platform, EDI)

Addepar

Skills

Required

  • AI
  • LLMs
  • agentic systems

Preferred

  • modern AI/LLM
  • Databricks / Langchain / MLFlow
  • probabilistic systems

Join Addepar, a leading wealth technology platform, as a Senior AI Engineer. In this high-impact role, you will architect, lead, and drive the execution of core AI capabilities that power our platform. You will be responsible for the end-to-end delivery of AI-native products, ensuring they are robust, scalable, and high-performance. You will also evaluate and adopt new AI technologies and frameworks, and partner with product managers and other engineering teams to translate strategic goals into technical realities.

Architecting, leading, and driving the execution of core AI capabilities that power the platform.

About Addepar

Extensive professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes

Responsibilities

  • Driving the end-to-end execution and delivery of AI-native products, from initial prototype to scalable production services.
  • Leading the evaluation and adoption of new AI technologies and frameworks to keep the company at the forefront of the industry.
  • A strong bias for action, with a passion for shipping rapidly and iterating with feedback
  • [Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow
  • Deep ownership mindset, seeing projects through to completion and raising the bar for execution across the team
  • [Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs

Requirements

  • Proven track record of owning and shipping complex, production-grade systems
  • [Preferred] Experience building AI products in highly accuracy-sensitive domains such as finance is a plus
  • BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience
  • [Preferred] Specific experience with LLMs and agentic systems
  • Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI