About The Position

We are seeking a hands-on AI Engineer to build, deploy, monitor, and continuously improve production-grade AI agents. The role focuses on Python, Agentic AI, AWS Bedrock AgentCore, and LLM evaluation. The position is based in Los Angeles, California, with a hybrid work arrangement. The engagement is listed as 3+ months, with a possible extension. The posting includes both a stated experience range of 15+ years in its heading and a qualification of 6–8+ years of relevant experience.

Requirements

  • Python and Agentic AI development experience.
  • Experience with AWS Bedrock AgentCore Evaluations or Bedrock evaluation.
  • Experience designing and curating golden datasets.
  • Experience designing and calibrating LLM-as-a-Judge evaluations against human labels.
  • Experience integrating automated evaluations and CI gates.
  • Experience with Langfuse and/or OpenTelemetry.
  • 6–8+ years of software engineering, cloud engineering, or AI/ML experience.
  • Hands-on experience with production AI agents and continuous evaluation.
  • Strong problem-solving and troubleshooting skills.
  • The posting heading states 15+ years of experience.

Nice To Haves

  • RAGAS or equivalent evaluation frameworks.
  • Trajectory evaluation and agentic red-teaming.
  • Bedrock Guardrails, Strands Agents SDK, and GitHub Actions.

Responsibilities

  • Develop AI agents using Python and Claude Agent SDK.
  • Deploy agents using AWS Bedrock AgentCore Runtime.
  • Design golden datasets and implement LLM-as-a-Judge evaluations.
  • Integrate automated evaluations into CI/CD pipelines as quality gates.
  • Implement Langfuse and/or OpenTelemetry for AI observability and tracing.
  • Evaluate agent accuracy, task completion, tool execution, and performance.
  • Support RAG pipelines and AWS data processing workflows.
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