Semantic Retrieval / Vector Optimization Engineer
CiteWorks Studio is hiring a Semantic Retrieval / Vector Optimization Engineer to build the systems that analyze how brands, pages, entities, reviews, competitors, and authority signals sit in embedding space.
You will turn those insights into dashboard recommendations for AI visibility and generative engine optimization that enterprise teams can act on.
/ About CiteWorks Studio
About CiteWorks Studio
CiteWorks Studio is a full-service search visibility agency for enterprise brands and agency partners. We help brands improve where they rank, where they are cited, and where they are recommended by combining SEO auditing, AI search analysis, technical optimization, citation architecture, market intelligence, and in-house execution.
Our work is built around a simple market reality: buyers no longer discover brands through one channel. They move between Google, AI-generated answers, review pages, comparison articles, community discussions, videos, social platforms, and brand content before deciding who to trust.
CiteWorks Studio is moving toward a stronger SaaS and solutions model — turning agency intelligence, methodology, audits, dashboards, and corrective-action systems into scalable products.
/ What you'll do
About the role
Detailed responsibilities will be shared during the interview process. At a high level, you will:
- 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
Apply for this role
Send your resume, work samples, or portfolio along with a note on why you'd be the perfect fit. Include "Semantic Retrieval / Vector Optimization Engineer" in your subject line.
hr@citeworksstudio.com
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