Founding Applied AI Engineer

Worldwide Placement Limited; San Francisco (CA); On-site; USD 170,000 - 240,000; Full time

Job summary

Worldwide Placement Limited seeks a founding Applied AI Engineer in San Francisco, on-site, to own the quality and intelligence of multi-channel marketing agents. You will shape architecture, evaluation systems, and learning loops while building the AI team from the ground up.

You’ll scale agents across SEO, content, social, and search channels, collaborating directly with the founder to drive reliable, high‑quality performance in production ML systems.

Qualifications

• 3+ years building production ML or AI systems.
• Shipping LLM products or agents.
• Strong TypeScript (Next.js) and Python for data analysis and model work.
• Measurable output quality and actionable improvements.
• Ownership experience in a startup or small team.

Responsibilities

• Improve agent output and content quality with measurable evals.
• Improve SEO and GEO performance.
• Design feedback loops for learning from real-world signals at scale.
• Improve AI infrastructure, agent architecture, model strategy, and data pipelines.
• Hire and lead the AI team as the organization grows.

Skills

TypeScript

Next.js

Python

Education

Other

Job description

Industry: Information Technology - Computer Software

Job Category: Information Technology

Role facts

• Domain: AI agents / growth marketing

• Work arrangement: San Francisco, California, United States; on-site

• Work authorization: Visa sponsorship is not available; US work authorization is required.

• Education: No explicit degree requirement in the public JD

• Equity: Not specified

Candidate Details

Seniority Level - Mid-Senior

Management Experience Required - No

Minimum Education - Other

Willingness to Travel - Never

About the role

You’ll be the company’s first senior AI hire, owning the quality and intelligence of our multi-channel marketing agents end to end. Working directly with the founder, you’ll shape agent architecture, evaluation systems, and learning loops while building out the AI team from the ground up. This role is critical to scaling the reliability and effectiveness of agents operating across SEO, content, social, and search channels.

What you will do

• Improve agent output and content quality across Reddit, LinkedIn, X, and article writing, with evaluation systems that make quality measurable.

• Improve SEO and generative engine optimization (GEO) performance.

• Design feedback loops that enable agents to learn from real-world results and performance signals at scale.

• Improve AI infrastructure, agent architecture, model strategy, and the data pipelines that power them.

• Hire and lead the AI team as the organization grows.

What They’re Looking For

• 3+ years building production ML or AI systems, with recent hands‑on work shipping LLM products or agents.

• Proven experience designing evals and learning from outcome signals at scale in domains like search, ranking, or recommendations.

• Strong TypeScript (Next.js) and Python proficiency for data analysis, evals, and model work; you ship end to end.

• Sharp judgment about output quality and the ability to make it measurable and actionable.

• Ownership experience in a startup or small team environment.

• Search or ranking experience, particularly with Google or AI answer engines.

• Background from a leading AI lab or top research program.

• Marketing or go‑to‑market experience is a plus. Candidates with recommendation systems, algorithms, or reinforcement learning experience are also relevant; a marketing background is not required.

Skills and Certifications [note: bold skills and certification are required]
TypeScript
Next.js
Python

Compensation

Base Salary - Competitive

Full-time

Benefits - None

Relocation Assistance Available - No

Commission Compensation - No

Bonus Eligible - No

Overtime Eligible - No

Interview Travel Reimbursed - No

Why this employer is a great company
Startup building AI marketing agents. Hiring a Founding Applied AI Engineer for the responsibilities described in this role. San Francisco, California, United States; on-site.

Join Them