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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.