
10,000+ employees
🏠 Real Estate
📱 Media
Real Estate • Media
Compass is a real-estate-focused content and services site that provides detailed market analysis, buying/selling/renting guides, mortgage and financing information, and home improvement and renovation advice. The site offers resources for homebuyers, sellers, renters, agents, and real estate investors — including articles on appraisals, affordable housing, investment strategies, staging and property maintenance. Compass aims to help users make informed decisions across the housing lifecycle through timely market updates and practical how-to content.
🕒 May 27
🗣️🇧🇷🇵🇹 Portuguese Required
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10,000+ employees
🏠 Real Estate
📱 Media
Real Estate • Media
Compass is a real-estate-focused content and services site that provides detailed market analysis, buying/selling/renting guides, mortgage and financing information, and home improvement and renovation advice. The site offers resources for homebuyers, sellers, renters, agents, and real estate investors — including articles on appraisals, affordable housing, investment strategies, staging and property maintenance. Compass aims to help users make informed decisions across the housing lifecycle through timely market updates and practical how-to content.
• Develop and enhance Generative Artificial Intelligence solutions focused on document processing and analysis; • Build and maintain automated data ingestion pipelines for RAG (Retrieval-Augmented Generation) based solutions; • Prepare, structure, and transform documents for processing by language models (LLMs); • Develop solutions using cloud AI services, focusing on Azure AI Services and Amazon Bedrock; • Implement and optimize semantic search mechanisms, embeddings, and vector databases for intelligent information retrieval; • Create, fine-tune, and evolve prompts to maximize accuracy and the quality of responses generated by AI models; • Integrate applications with Generative AI APIs, including OpenAI-based solutions and equivalent services; • Participate in defining and implementing scalable architectures for AI applications in cloud environments; • Design and execute testing plans for functional and technical validation of developed solutions; • Create metrics and indicators to monitor performance, quality, and effectiveness of AI solutions; • Produce technical and functional documentation for implemented solutions; • Work closely with stakeholders to understand business needs and translate them into AI-based solutions; • Present results, analyses, and solution developments to technical teams and business areas; • Contribute to the continuous improvement of practices, frameworks, and processes related to Generative AI and Machine Learning.
• Bachelor's degree in Information Technology or a postgraduate degree in IT with a minimum of 360 hours recognized by the MEC (Brazilian Ministry of Education); • Minimum of 4 years of proven professional experience in technology-related roles; • Experience with Generative AI solutions and integration of Large Language Models (LLMs); • Practical knowledge of architectures and solutions based on Retrieval-Augmented Generation (RAG); • Experience building automated data ingestion and processing pipelines for AI applications; • Advanced knowledge of Azure, including services such as Azure OpenAI, AI Document Intelligence, and other AI capabilities; • Knowledge of AWS, especially Amazon Bedrock; • Experience integrating with chat APIs and language models; • Knowledge of embeddings, vector databases, and semantic search mechanisms; • Experience in cloud solution architecture for AI applications; • Strong knowledge of Python for developing and integrating scalable solutions; • Experience handling and processing large volumes of data; • Familiarity with code versioning using Git; • Ability to document technical solutions and present results to diverse audiences; • Preferred: Experience in document analysis projects using Generative AI; knowledge of advanced prompt engineering techniques; experience with AI orchestration frameworks such as LangChain or similar; experience with observability and monitoring of AI applications; knowledge in evaluation and optimization of quality metrics for AI models; experience with hybrid information retrieval solutions (semantic search and traditional search); certifications in Azure, AWS, or areas related to Artificial Intelligence and Cloud Computing.
• Position also open to candidates with disabilities (PwD)
Apply Now🕒 May 26
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