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1 week ago

noida, India beBeeOptimizer Full time

Optimize Large Language Models for the Next AI EraAbout the Role:We're seeking a senior expert with hands-on experience in Google Vertex AI to lead short-term projects focused on Large Language Model Optimization (LLMO) and Generative Engine Optimization (GEO).You'll help our organization make its products and services AI-ready, ensuring they're discoverable and accurately represented across AI-driven assistants and large language models.Key Responsibilities:Optimize LLM pipelines on Google Vertex AI using systematic tuning techniques.Configure grounding with Google Search or custom data indexes.Benchmark Gemini and other foundation models for latency, cost, and output quality.Design Retrieval-Augmented Generation workflows, building and tuning hybrid retrieval.Manage vector databases and embeddings, such as Vertex Matching Engine, Pinecone, and FAISS.Optimize grounding, citations, and factual consistency.Implement LLMO & GEO: create schema-rich content that improves visibility in AI-generated results.Collaborate with marketing/data teams to strengthen content discoverability.Evaluation & A/B Testing: define success metrics, including nDCG, MRR, and factual accuracy.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.Requirements: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.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.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).

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