Founding Applied AI Engineer

Wwshemi; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Wwshemi in San Francisco is seeking its first senior AI hire to 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.

You will lead improvements to agent output, SEO performance, and production AI infrastructure; hire and guide the growing AI team; work on LLM-based agents and go-to-market aligned capabilities.

Qualifications

• Minimum 3 years building production machine learning or AI systems, with 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; reinforcement learning are also relevant backgrounds.

Responsibilities

• 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.

Skills

Production ML

LLM shipping

Evaluations at scale

TypeScript (Next.js)

Python

AI infrastructure

Agent architecture

Startup experience

Search/ranking experience

Reinforcement learning

Go-to-market exposure

Job description

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.