Senior LLM Optimization

4 days ago

Thoothukudi, India Proso.ai Full time

About the Role: Proso AI is seeking aSenior Expertwith hands-on experience inGoogle Vertex AIto lead short-term projects focused onLLM Optimization (LLMO)andGenerative Engine Optimization (GEO)— the next evolution of SEO for the AI era. You’ll help make sa products and servicesAI-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: UseVertex AI Prompt OptimizerandModel Optimizerfor systematic LLM tuning. Configuregrounding with Google Searchor custom data indexes. BenchmarkGeminiand 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 inAI/ML or NLP engineering , preferably in enterprise or applied research settings. Proven experience withGoogle Vertex AI ,Gemini models , andGen App Builder / Vertex AI Search . Deep understanding ofLLM architectures ,prompt tuning ,RAG , andevaluation metrics . Experience withPython, Vertex AI SDK, LangChain, Weaviate, Pinecone, or OpenSearch . Familiarity withLLMO / GEOstrategies for AI visibility and structured content optimization. Strong understanding ofGCP architecture , IAM, cost optimization, and API integration. Excellent analytical, writing, and collaboration skills.Preferred Qualifications Background inComputer Science, Data Science, or AI/ML(Bachelor’s or Master’s from a premier institute). Exposure toAzure AI Search ,AWS Kendra , orElastic/OpenSearchplatforms. Experience building internal AI search, chatbots, or enterprise copilots. Knowledge ofMLOpsandVertex AI Pipelines .What You’ll Get Opportunity to work withAI-first founders and global consulting teams . Access to cutting-edgeGoogle Cloud AI stackand enterprise data systems. Ownership ofreal-world GenAI optimization problemsin production. Competitive compensation, fast-track growth, and cross-country exposure (US/UK/EU). Location:Remote / NoidaInterested candidatescan reach out or share their profiles at yukti.taneja@proso.ai

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