Founding Applied AI Engineer

As the first senior AI hire at an early-stage AI marketing company, you will own the quality and intelligence of its multi-channel marketing agents. You will shape the agent architecture, evaluation systems, and learning loops, while helping build the AI team.

• Improve agent output and content quality across social platforms and article writing, using evaluation systems to measure results.
• Improve search engine optimization and generative engine optimization performance.
• Build feedback loops that help agents learn from real-world results and performance signals.
• Improve production AI infrastructure, agent architecture, model strategy, and supporting data pipelines.
• Help hire and lead the AI team as it grows.

• At least 3 years building production machine learning or AI systems, with recent hands-on experience shipping LLM products or agents.
• Experience designing evaluations and using outcome signals at scale in search, ranking, recommendations, or related domains.
• Strong Type Script, including Next.js, and Python skills for data analysis, evaluations, and model work, with a track record of shipping end to end.
• Production experience in applied AI, such as LLM reasoning or post-training, generative AI, agentic systems, search, recommendation systems, algorithms, or machine learning research.
• Experience building feedback loops and improving AI infrastructure, agent architecture, or model strategy in production.
• Experience owning and shipping work in a startup or small team, plus strong research or applied AI achievements.
• Search, ranking, or AI answer engine experience is valuable. Marketing or go-to-market experience is a plus; recommendation systems, algorithms, and reinforcement learning are also relevant backgrounds.

Annual base compensation is $180,000 to $230,000 USD. Visa sponsorship is available.

On-site in San Francisco, California. Candidates must be based in or willing to relocate to San Francisco.