Founding Applied AI Engineer

San Franciscofull timeOn Site

Boost Your Interview Chances

Improve Resume Match Score

Free

Your Score

9.0

Strong Applicant

Must-Have Skills for This Role

Apply on Employer Site

mid

$180k–$230k

H1B: yes

Clera Founding Applied AI Engineer at Clera owns the quality and intelligence of multi-channel marketing agents and shapes agent architecture and evaluation systems. Responsible for improving agent-generated content, building feedback loops, and leading AI team growth.

Responsibilities

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.
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.

Qualification

Proficiency in TypeScriptExperience with searchMarketing or go-to-market experienceRecommendation systemsAlgorithmsReinforcement learning

Required

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.