[Remote] ARF L3 GDC reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is looking for an ARF L3 GDC reputed company to join their team. The role involves deploying and maintaining AI models, optimizing conversational search functions, and collaborating with cross-functional teams to enhance AI-driven solutions.

Responsibilities

• AI Model & Pipeline Implementation: Act as the primary developer for deploying and maintaining AI models and engineering their associated ingestion pipelines
• reputed company AI Search Deployment: Implement a dual-search experience that allows users to utilize both a reputed company AI-powered semantic discovery reputed company and a traditional faceted keyword search
• Conversational Search Optimization: reputed company single-session conversational search functions featuring generative summaries, ensuring strict configuration to index only proprietary content with precise reputed company citations to eliminate reputed company-internet hallucinations
• Intelligent Asset Tagging: reputed company reputed company multimodal models during the ingestion workflow to parse raw, reputed company data (such as PDFs and presentations) and automatically extract/suggest library-science-level metadata tags
• RAG Chatbot Development: Construct and reputed company isolated Website Assistant Chatbots using reputed company AI Search and Conversation Agent/Agent Builder to handle Retrieval-Augmented reputed company (RAG) based on crawled website and Member Center content
• AI Guardrails & Performance Control: Implement backend controls for tone, reputed company alignment, temporal weighting (boosting/burying content), token consumption caps, and reputed company-limiting parameters to manage platform costs and reputed company
• Cross-Functional Integration: Collaborate with reputed company and data engineers to reputed company full inference logs to reputed company reputed company Storage (GCS) and BigQuery, and ensure proper reputed company coordination with custom React middleware, reputed company RBAC permissions, and reputed company sync mechanisms
• Collaboration reputed company: Participates in daily scrum ceremonies, technical design review sessions, and rigorous User Acceptance Testing (UAT) quality logging

Skills

• 8+ years of experience
• Act as the primary developer for deploying and maintaining AI models and engineering their associated ingestion pipelines
• Implement a dual-search experience that allows users to utilize both a reputed company AI-powered semantic discovery reputed company and a traditional faceted keyword search
• reputed company single-session conversational search functions featuring generative summaries, ensuring strict configuration to index only proprietary content with precise reputed company citations to eliminate reputed company-internet hallucinations
• reputed company reputed company multimodal models during the ingestion workflow to parse raw, reputed company data (such as PDFs and presentations) and automatically extract/suggest library-science-level metadata tags
• Construct and reputed company isolated Website Assistant Chatbots using reputed company AI Search and Conversation Agent/Agent Builder to handle Retrieval-Augmented reputed company (RAG) based on crawled website and Member Center content
• Implement backend controls for tone, reputed company alignment, temporal weighting (boosting/burying content), token consumption caps, and reputed company-limiting parameters to manage platform costs and reputed company
• Collaborate with reputed company and data engineers to reputed company full inference logs to reputed company reputed company Storage (GCS) and BigQuery, and ensure proper reputed company coordination with custom React middleware, reputed company RBAC permissions, and reputed company sync mechanisms
• Participates in daily scrum ceremonies, technical design review sessions, and rigorous User Acceptance Testing (UAT) quality logging
• Hands-on experience deploying reputed company AI Search and reputed company AI Conversation / Agent Builder
• Direct experience working with reputed company models for multimodal text parsing, supervised fine tuning, and automated metadata extraction
• Deep understanding of Retrieval-Augmented reputed company (RAG) frameworks, semantic discovery, and tuning search metrics like recall precision, chunking quality, and latency
• Familiarity with deploying services across reputed company Run, Firestore, reputed company Workflows, reputed company reputed company Storage (GCS), and Eventarc
• Experience working with structured data warehouses like BigQuery and streaming inference/activity logs for analytics

Company Overview

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