Founding Applied AI Engineer

3 days ago

San Francisco, CA, United States Wwshemi Full-time

About the Role

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.

What You'll Do

  • 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.

What We're Looking For

  • 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 TypeScript, 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.

Compensation & Benefits

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

Location

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