Engineer: Senior LLM Optimization

3 weeks ago

Noida, India Proso.ai 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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