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πŸ“‹ Description

  • Design and implement core capabilities for an enterprise-grade Agent platform, including
  • Design enterprise-grade Agent execution and governance mechanisms, including Human-in-the-Loop
  • Build reusable Agent Skills, standardized tool interfaces, and a scalable tool ecosystem deeply
  • Design and implement LLM post-training strategies, including domain-specific Supervised Fine-Tuning
  • Build an Agent self-learning feedback loop that converts production execution traces, user
  • Analyze and optimize LLM behavior across areas such as instruction following, tool calling

🎯 Requirements

  • Bachelor's degree or higher in Computer Science, Artificial Intelligence, Electrical Engineering
  • 3+ years of experience in software engineering, machine learning, or applied AI, including 2+ years
  • Deep understanding of Agent architectures and LLM behavioral characteristics, including instruction
  • Proven ability to diagnose and resolve production LLM/Agent failures, including hallucinations
  • Strong Python and distributed backend engineering skills, including API and service development
  • Hands-on experience designing evaluation systems for LLM applications, including dataset

🎁 Benefits

  • Comprehensive compensation package including 401k and medical/dental coverage.
  • Base salary range: $150,000 - $180,000 + Bonus.
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