AI/ML Engineer - GEO (GB03 / GB04)
Listing checked August 22, 2026 · pay as published by Talentxo
Overview
The candidate will own the design, development, and deployment of production-grade AI/ML and Generative AI solutions for AI-driven search and generative interfaces. They will work on GEO, AEO, and SGE initiatives to improve visibility and discoverability across AI-powered search and conversational queries. The work applies LLMs, NLP, semantic search, embeddings, RAG, and vector databases to analyze search intent, AI-generated responses, and retrieval patterns. Collaboration spans Product, Engineering, Content, SEO, Marketing, and Business teams to turn requirements into scalable AI solutions. The role stands apart through its focus on measuring and improving GEO/AEO strategies and AI search performance through experiments and frameworks.
What You'll Do8
- 1Design, develop, and deploy production-grade AI/ML and Generative AI solutions.
- 2Execute GEO, AEO, and SGE initiatives to improve visibility and discoverability across AI-driven search and generative interfaces.
- 3Improve content, data, and digital experiences for AI-powered search, conversational queries, and LLM-based experiences.
- 4Develop solutions using LLMs, NLP, semantic search, embeddings, RAG, and vector databases.
- 5Analyze search intent, AI-generated responses, retrieval patterns, citations, and content discoverability to identify improvement opportunities.
- 6Build experiments and frameworks to measure the effectiveness of GEO/AEO strategies and AI search performance.
- 7Partner with Product, Engineering, Content, SEO, Marketing, and Business teams to translate business requirements into scalable AI solutions.
- 8Monitor model and solution performance and improve accuracy, relevance, latency, and overall user experience.
Requirements7
- 11-4 years of experience in AI/ML engineering.
- 2Hands-on expertise in Generative AI, LLMs, and NLP.
- 3Experience with semantic search, embeddings, RAG, and vector databases.
- 4Practical experience in GEO/AEO/SGE initiatives.
- 5Understanding of search intent, retrieval patterns, and AI-generated response analysis.
- 6Ability to collaborate with engineering, product, content, and marketing teams.
- 7Capacity to turn AI-search insights into measurable business outcomes.
Who Should Apply
The ideal candidate is a strong AI/ML Engineer with hands-on expertise in Generative AI, LLMs, NLP, and Search. They possess practical experience in GEO/AEO/SGE and feel comfortable working across engineering, product, content, and marketing teams. They can convert AI-search insights into measurable improvements in visibility, relevance, and business outcomes.
Salary Insight
Open to Discussion
Pay and demand for Machine Learning & AI roles
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$75/hour
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Most Machine Learning & AI roles pay $55–$100 per hour.
Based on 613 similar roles that publish pay · 100 publish only a top rate; those count at the rate they gave
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Include a case study in your application that shows a GEO/AEO project you built, with details on the metrics used to measure visibility improvements.
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