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Key Responsibilities:

  • Design and implement automated evaluation pipelines for multi-agent LLM systems.
  • Develop custom metrics and grading approaches for domain-specific tasks.
  • Build evaluation datasets and monitor system drift and observability.

Required Qualifications:

  • 5-7 years in software engineering, test automation, or AI engineering.
  • Strong Python skills and experience with LangChain, LangGraph, and LangSmith.
  • Experience with adversarial testing and AI safety evaluation.

Preferred Qualifications:

  • Experience with evaluation tools like Ragas, DeepEval, or Arize Phoenix.
  • Familiarity with Bedrock Agents and integrating evaluations into CI/CD.

Not Disclosed

This company develops an AI-driven platform that automates complex enterprise workflows for corporate real estate, including lease abstraction and portfolio optimization. The size and culture of the organization are not specified in the posting.

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