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Що робити

  • Build and refine agent capabilities through tools, skills, and integrations that are safe, observable, and easy for LLMs to use correctly.
  • Improve the agent runtime: tool calling, orchestration, error handling, handoffs, and recovery paths.
  • Identify agent failure modes and improve reliability so agents fail safely instead of silently.
  • Build and improve evaluation frameworks: scenarios, graders, and tooling for testing agents across multi-step workflows.
  • Work closely with product and customer problems, not only isolated research tasks.

Що пропонуємо

  • Practical AI/LLM engineering experience.
  • Experience with context engineering, RAG, agent frameworks, evaluations, or LLM observability.
  • Experience with Temporal or other durable workflow engines.
  • Experience using metrics and evaluation data to improve system quality.
  • Experience building reliable systems for enterprise customers.

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