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AddeparAddeparNew York, NY

Sr. Software Engineer - AI/ML - AI Platform

Builds and productionizes AI platform components including LLMs, agentic frameworks, and core agent capabilities. Requires 3-6+ years backend experience with Python, Golang, AWS, Kubernetes, and AI-native product shipping.

Salary not listed
On-site3+ YOEML Engineering

About the role

What You’ll Do

  • 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.

Who You Are

  • 3-6+ years of professional experience in backend software engineering, with expertise in programming languages/technologies like 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 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.

Bonus Points (Preferred Qualifications)

  • Specific experience with LLMs and agentic systems.
  • Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow.
  • Advanced understanding of the probabilistic systems underpinning modern LLMs.
  • Experience building AI products in highly accuracy-sensitive domains such as finance is a plus.

Skills

PythonGogRPCAWSKubernetesLLMsLangChainDatabricksMLflowAgentic Frameworks

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