AI Engineer – Mid

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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 scalable Generative Artificial Intelligence solutions; • Build robust, secure applications integrated with the organization’s technology ecosystem; • Create and evolve intelligent agents using LLMs and frameworks such as LangChain, LangGraph, and LangFlow; • Develop RAG (Retrieval-Augmented Generation) solutions, chatbots, classification systems, and intelligent document processing; • Implement orchestrated agent flows and API-based integrations; • Work with cloud platforms, especially AWS Bedrock (AgentCore), as well as Vertex AI and Azure OpenAI; • Apply LLMOps practices for the development, deployment, monitoring, and evolution of AI applications; • Define architectures and ensure observability, performance, security, and scalability of solutions; • Collaborate with multidisciplinary teams to build business-focused AI products and solutions.

🎯 Requirements

• Bachelor’s degree in a technology-related field or postgraduate degree in IT; • Experience developing Generative AI solutions using AWS services, particularly Amazon Bedrock; • Proficiency with LangChain and LangGraph frameworks for building intelligent agents; • Experience creating and evolving autonomous agents integrated with Large Language Models (LLMs); • Knowledge of LLMOps and the AI application lifecycle; • Experience developing chatbots, classification systems, document processing solutions, and RAG implementations; • Experience in graph modeling using Neo4j and Cypher query language; • Experience with integrations using MCP (Model Context Protocol); • Knowledge of solution architecture, testing, observability, and optimization of applications in cloud environments; • Experience with Git for version control and team collaboration; • Familiarity with the Kiro IDE (AWS) for AI-assisted development and task automation is a plus.

🏖️ Benefits

• Not specified