Senior AI Engineer

🔥 1 minute ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Compass

WebsiteLinkedInAll Job Openings

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 artificial intelligence solutions at scale • Create conversational flows and AI agents • Develop solutions using LLMs, LLMOps, and generative AI architectures • Deliver robust, secure applications integrated with the organization’s technology ecosystem • Create chains, agents, and memory flows using LangChain and LangGraph • Deploy and manage the machine learning model lifecycle using AWS SageMaker • Implement vector search and RAG architectures using AWS OpenSearch • Manage metadata and history storage in a NoSQL database using AWS DocumentDB • Develop and integrate web APIs using FastAPI or Flask • Perform code version control using Git • Apply Prompt Engineering practices • Work with frameworks such as LangChain, LangFlow, n8n, or similar tools • Work with cloud platforms such as AWS Bedrock (Agentcore), Vertex AI, and Azure OpenAI • Apply LLMOps practices and API-based integration to build intelligent agents • Support data-driven decision-making aligned with the client’s business objectives

🎯 Requirements

• Proven experience developing chatbots, creating conversational flows, and building AI agents • Proficiency in Python • Excellent knowledge of SQL • Strong knowledge of LangChain and LangGraph • Hands-on experience with AWS SageMaker • Hands-on experience with AWS OpenSearch for vector search and RAG architectures • Hands-on experience with AWS DocumentDB for storing metadata and history in NoSQL • Knowledge of developing web APIs using FastAPI or Flask • Knowledge of code version control using Git • Solid understanding of RAG architectures • Knowledge of Prompt Engineering • Knowledge of LLMs, LLMOps, and generative AI architectures • Experience with frameworks such as LangChain, LangFlow, n8n, or similar tools • Experience with cloud platforms such as AWS Bedrock (Agentcore), Vertex AI, and Azure OpenAI • Experience with API-based integration for developing intelligent agents • Experience with OCR (Optical Character Recognition) processes for extracting and processing text from documents and PDFs is a plus

🏖️ Benefits

• Remote work • Professional development and personal growth opportunities • Proprietary and third-party AI-powered tools • Borderless talent environment • Exposure to market trends and disruptive AI technologies