[Remote] ARF L3 GDC AI Engineer

Note: The job is a remote job and is open to candidates in USA. NR Consulting is looking for an experienced AI Engineer to join their team. The role involves deploying and maintaining AI models, optimizing conversational search functions, and integrating cross-functional systems while collaborating with other engineers.ResponsibilitiesAI Model & Pipeline Implementation: Act as the primary developer for deploying and maintaining AI models and engineering their associated ingestion pipelinesVertex AI Search Deployment: Implement a dual-search experience that allows users to utilize both a Vertex AI-powered semantic discovery engine and a traditional faceted keyword searchConversational Search Optimization: Develop single-session conversational search functions featuring generative summaries, ensuring strict configuration to index only proprietary content with precise source citations to eliminate open-internet hallucinationsIntelligent Asset Tagging: Leverage Gemini multimodal models during the ingestion workflow to parse raw, unstructured data (such as PDFs and presentations) and automatically extract/suggest library-science-level metadata tagsRAG Chatbot Development: Construct and deploy isolated Website Assistant Chatbots using Vertex AI Search and Conversation Agent/Agent Builder to handle Retrieval-Augmented Generation (RAG) based on crawled website and Member Center contentAI Guardrails & Performance Control: Implement backend controls for tone, persona alignment, temporal weighting (boosting/burying content), token consumption caps, and rate-limiting parameters to manage platform costs and securityCross-Functional Integration: Collaborate with cloud and data engineers to stream full inference logs to Google Cloud Storage (GCS) and BigQuery, and ensure proper interface coordination with custom React middleware, Salesforce RBAC permissions, and WordPress sync mechanismsCollaboration Framework: Participates in daily scrum ceremonies, technical design review sessions, and rigorous User Acceptance Testing (UAT) quality loggingSkills8+ Years of experienceAct as the primary developer for deploying and maintaining AI models and engineering their associated ingestion pipelinesImplement a dual-search experience that allows users to utilize both a Vertex AI-powered semantic discovery engine and a traditional faceted keyword searchDevelop single-session conversational search functions featuring generative summaries, ensuring strict configuration to index only proprietary content with precise source citations to eliminate open-internet hallucinationsLeverage Gemini multimodal models during the ingestion workflow to parse raw, unstructured data (such as PDFs and presentations) and automatically extract/suggest library-science-level metadata tagsConstruct and deploy isolated Website Assistant Chatbots using Vertex AI Search and Conversation Agent/Agent Builder to handle Retrieval-Augmented Generation (RAG) based on crawled website and Member Center contentImplement backend controls for tone, persona alignment, temporal weighting (boosting/burying content), token consumption caps, and rate-limiting parameters to manage platform costs and securityCollaborate with cloud and data engineers to stream full inference logs to Google Cloud Storage (GCS) and BigQuery, and ensure proper interface coordination with custom React middleware, Salesforce RBAC permissions, and WordPress sync mechanismsParticipates in daily scrum ceremonies, technical design review sessions, and rigorous User Acceptance Testing (UAT) quality loggingHands-on experience deploying Vertex AI Search and Vertex AI Conversation / Agent BuilderDirect experience working with Gemini models for multimodal text parsing, supervised fine tuning, and automated metadata extractionDeep understanding of Retrieval-Augmented Generation (RAG) frameworks, semantic discovery, and tuning search metrics like recall precision, chunking quality, and latencyFamiliarity with deploying services across Cloud Run, Firestore, Cloud Workflows, Google Cloud Storage (GCS), and EventarcExperience working with structured data warehouses like BigQuery and streaming inference/activity logs for analyticsUnderstanding of how AI APIs interact with external systems, specifically mapping relational metadata to Salesforce canonical IDs and syncing assets with WordPressCompany OverviewNR Consulting is an information technology consulting firm that offers contingent hiring, direct hires, and managed IT services. It was founded in 2017, and is headquartered in Boulder, Colorado, USA, with a workforce of 1001-5000 employees. Its website is https://www.nrconsultingservice.com/.Company H1B SponsorshipNR Consulting has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2022. Please note that this does not guarantee sponsorship for this specific role.