Drimva

Addepar

Sr. Software Engineer - AI Platform

$188K–$235K

New York, NY +1 · Remote · Senior · Full-time · Posted Oct 27, 2026

Location
New York, NY
Remote - United States
Experience
3-6+ years of professional backend software engineering experience.
Education
BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience.
Visa sponsorship
Must be legally authorized to work in the United States for any employer without current or future visa sponsorship and authorized to begin work in the U.S. on the first day of employment.

About the job

Architects, builds, and ships AI-native products and core AI platform capabilities, taking systems from prototype through scalable production.

What you'll do

  • Deliver AI-native products from prototype to scalable production services and enforce technical and operational excellence.
  • Build platform components including LLMs, agentic frameworks, and capabilities for tool use, web browsing, and computer use.
  • Evaluate new AI technologies and iterate on products using performance metrics and user feedback, collaborating with product and engineering teams.

What they ask for

  • 3-6+ years of professional backend software engineering experience.
  • Track record of owning and shipping complex, production-grade systems.
  • Experience shipping and maintaining AI-native products or features, or significant personal AI projects.
  • BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience.

Nice to have

  • Experience with LLMs and agentic systems; hands-on experience with Databricks, Langchain, or MLFlow.
  • Advanced understanding of probabilistic systems underlying LLMs; AI product experience in accuracy-sensitive domains such as finance is a plus.

Pay

$188,000 — $235,000 USD (base salary)

Tools

Python, Golang, gRPC, AWS, Kubernetes, LLMs, Databricks, Langchain

AI focus

Build and productionize AI platform capabilities and AI-native products, including LLMs, agentic systems, cross-platform tool use, web browsing, and computer use.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)