Engineer : Senior LLM Optimization (LLMO) / GEO Expert – Google Vertex

About the Role :

Proso AI is seeking a Senior Expert with hands-on experience in Google Vertex AI to lead short-term projects focused on LLM Optimization (LLMO) and Generative Engine Optimization (GEO) — the next evolution of SEO for the AI era.

You’ll help make sa products and services AI-ready , ensuring they’re discoverable and accurately represented across AI-driven assistants and LLMs like ChatGPT, Copilot, and Gemini.

Key Requirements

• Optimize LLM pipelines on Google Vertex AI : Use Vertex AI Prompt Optimizer and Model Optimizer for systematic LLM tuning.
• Configure grounding with Google Search or custom data indexes.
• Benchmark Gemini and other foundation models for latency, cost, and output quality.
• Design RAG (Retrieval-Augmented Generation) workflows : Build and tune hybrid retrieval (keyword + semantic).
• Manage vector databases and embeddings (e.g., Vertex Matching Engine, Pinecone, FAISS).
• Optimize grounding, citations, and factual consistency.
• Implement LLMO & GEO (Generative Engine Optimization) : Create schema-rich, machine-readable content that improves visibility in AI-generated results (Perplexity, ChatGPT, Google AI Overviews).
• Collaborate with marketing / data teams to strengthen content discoverability.
• Evaluation & A / B Testing : Define success metrics (nDCG, MRR, factual accuracy, latency).
• Build continuous evaluation harnesses and dashboards.
• Best Practices & Governance : Apply LLM safety guardrails, prompt versioning, and cost-control policies.
• Document reusable playbooks and mentor AI / ML engineers.

Required Skills and Experience

Preferred Qualifications

What You’ll Get

Interested candidates can reach out or share their profiles at