Staff Applied AI Engineer - Remote

Addepar, Inc.

Northern (KY)

Hybrid

USD 158,000 - 248,000

Full time

9 hours ago
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Job summary

Addepar, Inc. is seeking a Staff Software Engineer - Customer Facing Applied AI to lead AI engineering for high-impact client work. You will set technical direction, design scalable AI platforms, and collaborate with clients to build production-ready capabilities. You’ll mentor engineers and shape product direction from real engagements.

The role emphasizes ownership, rapid learning, and delivering reliable AI-powered insights within our data platform used by investment clients worldwide.

Qualifications

  • 6+ years of professional software engineering experience.
  • Proficiency with Python and production AI/LLM systems.
  • Experience designing scalable, production-grade platforms.

Responsibilities

  • Set technical direction for AI engineering across the team and define patterns.
  • Design the AI platform layer with shared agent frameworks and integrations.
  • Work with clients on complex engagements to shape AI capabilities.
  • Decide when features are production-ready and manage risk.
  • Handoff prototypes to product and generalize client capabilities for all customers.
  • Lead production quality, observability, and SLOs for AI systems.
  • Mentor AI and full-stack engineers and raise the team's technical bar.
  • Translate client learnings into roadmap priorities.

Skills

Python
AI/LLM systems
Client engagement
System design

Education

BS/MS in Computer Science or equivalent

Tools

Claude Code
Codex

Job description

Addepar, Inc. is seeking a Staff Software Engineer - Customer Facing Applied AI to lead AI engineering for high-impact client work. You will set technical direction, design scalable AI platforms, and collaborate with clients to build production-ready capabilities. You’ll mentor engineers and shape product direction from real engagements.

The role emphasizes ownership, rapid learning, and delivering reliable AI-powered insights within our data platform used by investment clients worldwide.

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