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Responsibilities

  • Own and define the full AI design and the multi-agent systems behind a financial compliance automation platform.
  • Put AI agent workflows into production that review millions of communications and filing records.
  • Set up ongoing testing and scoring of the AI, and solve scaling problems as customer volume grows.
  • Hire, coach, and lead a strong AI engineering team.

Requirements

  • 6+ years as an AI/ML engineer building and releasing agent-based AI systems in production.
  • Deep hands-on skills in Python, LangGraph, PydanticAI, and LLM orchestration.
  • Track record of building automated test gates and safeguards for unpredictable AI models.
  • Able to work on-site in New York 5 days a week.

Skills Required

  • Python
  • PydanticAI & LangGraph
  • Multi-agent systems & LLM orchestration
  • LLM evaluation & guardrails
  • AI architecture
  • Team leadership & hiring

Location: New York City (Financial District), on-site 5 days a week. Visa transfers (OPT, H-1B) considered case by case.

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