Compass
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.
Machine Learning AI Engineer – Specialist
🔥 6 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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Compass
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.
📋 Description
• Design, develop, and deploy Generative AI and LLM solutions at scale. • Develop intelligent agents, LLM-based applications, and API integrations. • Work with LLMOps, ensuring solution quality, security, observability, and scalability. • Use frameworks such as LangChain, LangFlow, and n8n, as well as platforms such as AWS Bedrock/AgentCore. • Collaborate with Engineering, Data, Cloud, and Product teams to build AI solutions.
🎯 Requirements
• Experience in AI Engineering, LLMs, and Generative AI. • Knowledge of LLMOps and agent-based architectures. • Experience with LangChain, LangFlow, n8n, or similar tools. • Knowledge of AWS Bedrock/AgentCore. • Experience with Python, APIs, and system integrations. • Knowledge of RAG, embeddings, vector databases, prompt engineering, and tool/function calling. • Knowledge of cloud platforms, CI/CD, containers, and DevOps/MLOps practices. • Knowledge of security and governance for AI applications.
🏖️ Benefits
• No benefits, perks, or additional compensation specified in the posting.
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