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PromptQL

AI Staff Software Engineer

Staff AI Software Engineer builds and scales AI systems including PromptQL AI assistant, data engine, and runtime infrastructure for enterprise reliability. Requires 6+ years experience with AI/ML, distributed systems, LLMs, Python fluency, and technical leadership.

250k – 500kSan Francisco, CAML EngineeringHybrid6+ YOE
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About the role

Role Requirements

  • 6+ years of experience as a software engineer, with at least 1+ years building AI or ML-powered systems
  • Designed and shipped complex distributed systems at scale, and know how to optimize for performance, cost, and reliability
  • Worked directly with large language models (LLMs) in production
  • Fluent in Python and/or a systems language, and can move comfortably between infrastructure, APIs, and core product logic
  • Comfortable leading technically: writing high-leverage design docs, setting engineering direction, and mentoring other senior engineers
  • Biased toward action and can operate with high autonomy; know how to unblock yourself and others
  • Care about quality, safety, and performance; bring a systems-level perspective to how engineering decisions impact the product and user

Responsibilities

  • Write production code, design architecture, optimize performance, shape infrastructure, and contribute to safety mechanisms
  • Build core stack, rapidly design and implement features across the PromptQL AI assistant, the PromptQL data engine, and the PromptQL runtime infrastructure

Compensation

  • Salary $250,000 - $500,000
  • Annual bonus
  • Large equity package

Skills

PythonLLMsDistributed SystemsMachine LearningCloud InfrastructureAPIsSystems Programming

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