Founding Applied AI Engineer

Wwshemi; San Francisco (CA); Vor Ort; USD 180.000 - 230.000; Vollzeit

Benefits dieser Stelle

Visa sponsorship available

Zusammenfassung

Wwshemi in San Francisco is seeking a senior AI engineer to own the quality and intelligence of its multi-channel marketing agents. You will shape agent architecture, evaluation systems, and learning loops, and help build the AI team as the company grows.

Responsibilities include improving agent-generated content for social channels and articles, boosting SEO and generative engine performance, and building production AI infrastructure and data pipelines.

Qualifikationen

• 3+ years shipping LLM products or agents.
• Experience designing evaluations and learning from outcome signals at scale.

Aufgaben

• Improve agent-generated content quality for social channels and articles.
• Improve performance across search engine optimization and generative engine optimization.
• 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.

Kenntnisse

Production ML/AI

Evaluation design

Python data analysis

TypeScript/Next.js

LLM/agent systems

Startup experience

Tools

Next.js

Python

Jobbeschreibung

This listing's locations On-site - San Francisco, California, United States

Employment Full-time

Workplace On site

Compensation USD 180000–230000 per year

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

What You'll Do

• Improve the quality of agent-generated content for social channels and articles, using evaluation systems to make quality measurable.
• Improve performance across search engine optimization and generative engine optimization.
• 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 of experience building production ML or AI systems, including recent hands-on work shipping LLM products or agents.
• Experience designing evaluations and learning from outcome signals at scale in search, ranking, recommendations, or related areas.
• Proficiency in TypeScript, including Next.js, and Python for data analysis, evaluations, and model work, with a track record of shipping end to end.
• Production applied AI experience in areas such as LLM reasoning or post-training, generative AI, agentic systems, search, recommendations, algorithms, or machine learning research.
• Experience improving production AI systems and owning work in a startup or small-team environment.
• Background at a leading AI lab or research program, or another achievement demonstrating comparable technical depth.
• Experience with search, ranking, or AI answer engines is valuable. Marketing or go-to-market experience, recommendation systems, algorithms, and reinforcement learning are also relevant.

Target annual 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.