Engineer: Senior LLM Optimization

1 week ago


noida, India Proso Full time

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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