Founding Applied AI Engineer
San Francisco · today
You will own the quality and intelligence of multi-channel marketing agents by building evaluation systems, feedback loops and agent architecture. You will also help hire and lead the growing AI team.
- Workplace
- On-site
- Seniority
- Senior
- Salary
- 180K USD/yr - 230K USD/yr
- Experience
- 3+ years
- Team
- Engineering
- Visa sponsorship
- Available
Skills
About the role
About the Role 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. Compensation & Benefits 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.
Posted Nov 8, 2026
