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Senior AI Engineer (AI Platform)

Addepar

Skills

Required

  • AI
  • LLMs
  • backend software engineering
  • Python
  • Golang
  • gRPC
  • AWS
  • Kubernetes
  • agentic systems
  • probabilistic systems

Preferred

  • agentic frameworks

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 that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems. You will also lead the evaluation and adoption of new AI technologies and frameworks, and partner with product managers and other engineering teams to translate strategic goals into technical realities.

Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity.

Experience building AI products in highly accuracy-sensitive domains such as finance is a plus

About Addepar

Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow

Responsibilities

  • Architect, build, and productionize core components of our AI platform – including LLMs and the surrounding ecosystem, agentic frameworks, and core agent capabilities.
  • Lead the evaluation and adoption of new AI technologies and frameworks to keep the company on the frontier of the industry.

Requirements

  • 3-6+ years of professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes
  • Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship, and must be authorized to begin work in the U.S. on their first day of employment
  • Proven track record of owning and shipping complex, production-grade systems

Specific experience with LLMs and agentic systems

  • Advanced understanding of the probabilistic systems underpinning modern LLMs
  • 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
  • Deep ownership mindset, seeing projects through to completion and raising the bar for execution across the team
  • Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI

Pay

USD 188,000 - 235,000