Founding Applied AI Engineer

Descripción del empleo

About the Role

As the first senior AI hire at an early-stage AI company, you will own the quality and intelligence of multi-channel marketing agents. You will shape the agent architecture, evaluation systems, and learning loops that help the product deliver reliable results.

What You'll Do

Improve agent outputs and content quality across social channels and article writing, and build evaluations that make quality measurable.
Improve search engine optimization and generative engine optimization performance.
Build feedback loops that help agents learn from real-world results and performance signals.
Improve AI infrastructure, agent architecture, model strategy, and supporting data pipelines.
Help hire and lead the AI team as it grows.

What We're Looking For

At least 3 years of experience building production machine learning or AI systems, including recent hands-on work shipping LLM products or agents.
Experience designing evaluation systems and using outcome signals at scale in search, ranking, recommendations, or related domains.
Proficiency in TypeScript, including Next.js, and Python for data analysis, evaluations, and model work, with the ability to ship end to end.
Production experience with applied AI, such as LLM reasoning, post-training, generative AI, agentic systems, search, recommendation systems, algorithms, or machine learning research.
Experience building feedback loops and improving production AI infrastructure, agent architecture, or model strategy.
Ownership experience in a startup or small team, plus experience with search, ranking, or AI answer engines, particularly Google.
Experience at a leading AI lab or comparable evidence of technical achievement is valued. Marketing or go-to-market experience, recommendation systems, algorithms, and reinforcement learning are relevant strengths.