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

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

Proso.aiAlappuzha, IN
12 hours ago
Job description

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

  • 3+ years of hands-on experience in AI / ML or NLP engineering , preferably in enterprise or applied research settings.
  • Proven experience with Google Vertex AI , Gemini models , and Gen App Builder / Vertex AI Search .
  • Deep understanding of LLM architectures , prompt tuning , RAG , and evaluation metrics .
  • Experience with Python, Vertex AI SDK, LangChain, Weaviate, Pinecone, or OpenSearch .
  • Familiarity with LLMO / GEO strategies for AI visibility and structured content optimization.
  • Strong understanding of GCP architecture , IAM, cost optimization, and API integration.
  • Excellent analytical, writing, and collaboration skills.

    • Preferred Qualifications

  • Background in Computer Science, Data Science, or AI / ML (Bachelor’s or Master’s from a premier institute).
  • Exposure to Azure AI Search , AWS Kendra , or Elastic / OpenSearch platforms.
  • Experience building internal AI search, chatbots, or enterprise copilots.
  • Knowledge of MLOps and Vertex AI Pipelines .

    • What You’ll Get

  • Opportunity to work with AI-first founders and global consulting teams .
  • Access to cutting-edge Google Cloud AI stack and enterprise data systems.
  • Ownership of real-world GenAI optimization problems in production.
  • Competitive compensation, fast-track growth, and cross-country exposure (US / UK / EU).
  • Location : Remote / Noida

    • 📩 Interested candidates can reach out or share their profiles at yukti.taneja@proso.ai

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