Vector Retrieval Engineer for AI-Driven SEO

CiteWorks Studio; Northern (KY); Hybrid; USD 120,000 - 190,000; Full time

Job summary

CiteWorks Studio is seeking a Semantic Retrieval / Vector Optimization Engineer to design embedding pipelines and retrieval systems for enterprise-grade AI visibility products. You will map brand, page, entity, and competitor positioning in embedding space, translate vector distances into actionable recommendations, and partner with data science and product teams to ship dashboards.

The role emphasizes collaboration across engineering and analytics, with a focus on scalable, dashboard-driven AI

Qualifications

• Experience designing embedding pipelines and retrieval systems.
• Ability to translate vector metrics into product recommendations.
• Collaborative work with data science and product teams.

Responsibilities

• Design embedding pipelines that map brand, page, entity, and competitor positioning.
• Build retrieval systems that mirror how generative engines surface answers.
• Engineer cosine-gap analyses that translate vector distance into product recommendations.
• Partner with data science and product to ship intelligence into dashboards.

Skills

Embedding pipelines

Retrieval systems

Vector analytics

Dashboard integration

Cosine similarity analysis

Tools

Cosine similarity analysis

Job description

CiteWorks Studio is seeking a Semantic Retrieval / Vector Optimization Engineer to design embedding pipelines and retrieval systems for enterprise-grade AI visibility products. You will map brand, page, entity, and competitor positioning in embedding space, translate vector distances into actionable recommendations, and partner with data science and product teams to ship dashboards.

The role emphasizes collaboration across engineering and analytics, with a focus on scalable, dashboard-driven AI