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Staff Applied AI Engineer

📅 Jul 23
📍 Worldwide - Remote🎺 Lead🤖 AI Engineer📢 🇬🇧 English Required💼 Full-Time
LLM SystemsPrompt EngineeringSoftware EngineeringArchitectural Design
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📜 Description

  • Define AI Agent Architecture: Set technical direction for how agents manage context, orchestrate workflows, and scale.
  • Lead multi-model strategy: Build evals and selection criteria across providers; partner with provider teams to test new capabilities.
  • Build tool-use & workflow foundations: Design safe, reliable interfaces for tool calling and set organizational best practices.
  • Drive cross-team execution: Align product, design, and engineering teams while mentoring engineers to elevate AI engineering standards.
  • Establish data & evaluation standards: Own dataset methodology and eval harness, turning insights into measurable improvements.
  • Drive Research and Innovation: Experiment with prompting and context handling, sharing learnings externally when appropriate.

🛠️ Requirements

  • Deep LLM experience: Built and scaled production LLM systems; strong grasp of capabilities, limits, and emergent behavior.
  • Prompt engineering: Sets best practices and mentors across models and use cases.
  • Software engineering: Strong fundamentals; designs scalable systems and makes pragmatic architectural calls.
  • Strategic execution: Drives ambiguous, high-scope work end to end; influences across teams.
  • Systems thinking: Spots process/communication/technical debt and improves team velocity.
  • Model & agent literacy: Tracks coding-agent/LLM advances; understands model tradeoffs and the agent lifecycle.
  • Data-driven leadership: Builds data collection + eval harnesses; turns insights into measurable improvements.
  • Strong verbal and written English communication skills.
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