Principal AI (Search) Engineer, Yieldmo

• You’ll bring deep technical expertise, creative problem-solving, and a builder’s mindset to create a system that sets new standards for relevance, intelligence, and performance
• You have designed and built scalable, general-purpose search or retrieval systems end-to-end
• You bring deep expertise in AI-powered search methodologies, including LLMs, embeddings, vector databases, and retrieval-augmented generation
• You have a strong understanding of indexing, query processing, and ranking architectures
• You’re a hands-on engineer with experience leading or scaling systems and teams in fast-moving environments
• You’ve worked within or closely alongside world-class AI/search organizations (e.g., OpenAI, Anthropic, Perplexity, xAI, Google DeepMind, etc.)
• You’re proficient in Python, SQL, Docker, and microservices, with familiarity in function/tool calling from an LLM
• You communicate with clarity and thrive in a highly collaborative, cross-functional setting

Desirable

• We’re seeking an exceptional Search Engineer to architect and build Yieldmo’s next-generation, AI-powered search platform—redefining how users discover and engage with content across the open web
• This is a rare opportunity to shape an entirely new search product from inception, working at the intersection of AI, large-scale data, and user experience
• Architect, design, and build Yieldmo’s AI-driven search engine from the ground up, launching first with a major publisher partner before scaling across multiple partners
• Write high-quality, production-ready code while iterating quickly to validate ideas and refine search performance
• Collaborate closely with Product and Engineering teams to integrate cutting-edge retrieval, ranking, and recommendation technologies
• Define the long-term technical vision and roadmap for Yieldmo’s search capabilities
• Build and mentor a small, high-performing team of engineers to evolve and scale the platform
• Establish best practices for search quality, experimentation, and performance monitoring
• Drive innovation by exploring emerging AI and search technologies to enhance discovery and personalization
• Partner with leadership to align the search strategy with Yieldmo’s broader product and revenue goals
• Foster a culture of technical excellence, curiosity, and ownership across the engineering organization

• Select candidates will be invited to schedule a 30 minute screening call with a member of our Talent Acquisition team. We will discuss the Hiring Process details at that time. The hiring process typically includes, but is not limited to:
• A 30 minute video interview with the Hiring Manager
• Candidates will be invited to join a remote on-site interview round, consisting of video interviews with various team members and leadership
• Successful candidates will subsequently be made an offer