Founding Applied AI Engineer

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

Benefits offered by this job

Visa sponsorship

On-site in San Francisco

Job summary

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

You will improve agent output and content quality, boost SEO performance, and build feedback loops from real-world outcomes. You will own AI infrastructure and lead the team as Clera scales.

Qualifications

• 3+ years of production ML/AI experience, shipping LLM products or agents.
• Experience designing evaluation systems and learning from outcome signals at scale (search/ranking/recommendations).
• Strong TS (Next.js) and Python for end-to-end products, data analysis, and model work.

Responsibilities

• Improve agent output and content quality across channels; make quality measurable.
• Enhance SEO and generative engine optimization performance.
• Build feedback loops for learning from real-world outcomes and signals.
• Own and improve AI infrastructure, agent architecture, model strategy, and data pipelines.
• Help hire and lead the AI team as the organization grows.

Skills

TypeScript

Next.js

Python

Evaluation systems

Learning from outcomes

ML/AI systems

Startup experience

Tools

AI infrastructure

Data pipelines

Agent architecture

Job description

About the Role

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

What You'll Do

• Improve agent output and content quality across social channels and article writing, making quality measurable through evaluation systems.

• Improve search engine optimization and generative engine optimization performance.

• Build feedback loops that help agents learn from real-world outcomes and performance signals.

• Own and improve AI infrastructure, agent architecture, model strategy, and supporting data pipelines.

• Help hire and lead the AI team as the organization grows.

What We're Looking For

• At least 3 years of experience building production machine learning or AI systems, including recent hands-on experience shipping LLM products or agents.

• Experience designing evaluation systems and learning from outcome signals at scale, particularly in search, ranking, or recommendations.

• Strong TypeScript, including Next.js, and Python skills for building end-to-end products, data analysis, evaluation, and model work.

• Strong judgment about output quality, with the ability to make it measurable and actionable.

• Experience taking ownership in a startup or small-team environment; experience with search, algorithms, reinforcement learning, or marketing technology is relevant.

Compensation & Benefits

Target annual compensation is $180,000 to $230,000 USD. Visa sponsorship is available.

Location

On-site in San Francisco, California.