> Markdown version of [/jobs/ext/3869954-founding-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3869954-founding-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Founding Senior AI Engineer - **Company:** FRUITION EXECUTIVE SEARCH LLC - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Recommender Systems, Next.js, TypeScript, AI Infrastructure, Large Language Models, Data Pipelines - **Published:** October 22, 2026 - **Apply:** https://www.careerbuilder.com/job-details/founding-senior-ai-engineer-san-francisco-ca--1ce94d6b-6834-4762-b9e2-ecdf52127a5a ## About the Role Artificial Intelligence (AI), Artificial Intelligence (AI), Startup, Channel Marketing, Search Engine Optimization (SEO), Architectural Analysis, Team Lead/Manager, Team Building, LinkedIn, Quality Metrics, * 3+ years building production ML or AI systems, with recent hands-on shipping of LLM products or agents. * Proven eval design and outcome-signal learning in domains like search, ranking, or recommendations. * Strong TypeScript (Next.js) and Python - you ship end to end and can do the data/eval work yourself. * Sharp judgment about output quality, and the ability to make it measurable and actionable. * Ownership experience in a startup or small team. * Search or ranking background - especially Google or AI answer engines. Bonus: leading AI lab or top research program, marketing/GTM exposure, or RL/recommender systems experience. ## Description * Improve agent output and content quality across Reddit, LinkedIn, X, and long-form articles - with evaluation systems that make quality measurable. * Improve SEO and generative engine optimization (GEO) performance. * Design feedback loops so agents learn from real-world results and performance signals at scale. * Own AI infrastructure, agent architecture, model strategy, and the data pipelines behind them. * Hire and lead the AI team as the org grows.