Senior LLM Optimization (LLMO) / GEO Expert

As a Senior Expert at Proso AI, your primary responsibility will be to lead short-term projects focused on LLM Optimization (LLMO) and Generative Engine Optimization (GEO) using Google Vertex AI. You will play a crucial role in making products and services AI-ready by ensuring their discoverability and accurate representation across AI-driven assistants and LLMs such as ChatGPT, Copilot, and Gemini. Key Responsibilities: - Optimize LLM pipelines on Google Vertex AI using 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 by building and tuning hybrid retrieval (keyword + semantic). - Manage vector databases and embeddings such as Vertex Matching Engine, Pinecone, FAISS. - Implement LLMO & GEO (Generative Engine Optimization) by creating schema-rich, machine-readable content that enhances visibility in AI-generated results. - Collaborate with marketing/data teams to strengthen content discoverability. - Define success metrics for Evaluation & A/B Testing including nDCG, MRR, factual accuracy, and latency. - Build continuous evaluation harnesses and dashboards. - Apply best practices & governance by implementing LLM safety guardrails, prompt versioning, and cost-control policies. - Document reusable playbooks and mentor AI/ML engineers. Qualifications Required: - 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. If you join Proso AI, you will have the opportunity to work with AI-first founders and global consulting teams, access cutting-edge Google Cloud AI stack and enterprise data systems, own real-world GenAI optimization problems in production, and enjoy competitive compensation, fast-track growth, and cross-country exposure (US/UK/EU). The location for this role is Remote/Noida. Interested candidates can reach out or share their profiles at yukti.taneja@proso.ai.,