Principal Software Engineer – AI Automation
Job Description:
• Architect Agentic Systems: Design and build sophisticated multi-agent architectures that move beyond simple chat to autonomous execution and complex reasoning.
• Solve the "Hard Problems" of AI: Define and implement reliable evaluation frameworks, eliminate hallucinations through rigorous data grounding, and build deep observability into LLM reasoning chains.
• Build the Core AI Platform: Develop the underlying primitives and orchestration tools that will allow the rest of the org to adopt AI, improving developer productivity and operational efficiency across the entire organization.
• Lead the AI-First Transition: Partner with leadership to identify high-impact automation opportunities across Product Foundations and Core functions, ensuring our AI strategy creates compounding leverage.
• Bridge Engineering and AI: Act as a "Software Engineer with deep AI expertise"—applying world-class backend engineering principles (scalability, reliability, performance) to the bleeding edge of Generative AI.
• Mentor and Elevate: Serve as a mentor to senior ICs and engineering teams, raising the bar for AI literacy and engineering excellence across the organization.
Requirements:
• Deep AI/LLM Expertise: Extensive experience working with LLMs, RAG, and Agentic frameworks. You understand the nuances of prompt engineering, fine-tuning, and the current limitations of frontier models.
• Backend Engineering Mastery: You are a seasoned Software Engineer at heart. You can build the robust, scalable systems required to put AI into production at a global scale.
• Proven Strategic Leadership: Experience operating with organizational level impact, leading technical strategy across multiple domains.
• Visionary Mindset: You are 18 months ahead of the industry curve. You can see how AI will transform business processes and have the technical chops to build that future today.
• Focus on Reliability: A passion for solving the "unsolved" problems of AI: evaluation, grounding, and deterministic outcomes in non-deterministic systems.
Benefits:
• health insurance
• retirement plans
• paid time off
Apply Now
Apply Now
• Architect Agentic Systems: Design and build sophisticated multi-agent architectures that move beyond simple chat to autonomous execution and complex reasoning.
• Solve the "Hard Problems" of AI: Define and implement reliable evaluation frameworks, eliminate hallucinations through rigorous data grounding, and build deep observability into LLM reasoning chains.
• Build the Core AI Platform: Develop the underlying primitives and orchestration tools that will allow the rest of the org to adopt AI, improving developer productivity and operational efficiency across the entire organization.
• Lead the AI-First Transition: Partner with leadership to identify high-impact automation opportunities across Product Foundations and Core functions, ensuring our AI strategy creates compounding leverage.
• Bridge Engineering and AI: Act as a "Software Engineer with deep AI expertise"—applying world-class backend engineering principles (scalability, reliability, performance) to the bleeding edge of Generative AI.
• Mentor and Elevate: Serve as a mentor to senior ICs and engineering teams, raising the bar for AI literacy and engineering excellence across the organization.
Requirements:
• Deep AI/LLM Expertise: Extensive experience working with LLMs, RAG, and Agentic frameworks. You understand the nuances of prompt engineering, fine-tuning, and the current limitations of frontier models.
• Backend Engineering Mastery: You are a seasoned Software Engineer at heart. You can build the robust, scalable systems required to put AI into production at a global scale.
• Proven Strategic Leadership: Experience operating with organizational level impact, leading technical strategy across multiple domains.
• Visionary Mindset: You are 18 months ahead of the industry curve. You can see how AI will transform business processes and have the technical chops to build that future today.
• Focus on Reliability: A passion for solving the "unsolved" problems of AI: evaluation, grounding, and deterministic outcomes in non-deterministic systems.
Benefits:
• health insurance
• retirement plans
• paid time off
Apply Now
Apply Now