Senior AI/ML Developer

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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

• Build generative AI applications using LLMs and agent-based architectures; • Design, develop, and deploy scalable, secure AI solutions integrated into the organization's technology ecosystem; • Develop transactional applications with a focus on low latency, high availability, observability, and security; • Implement intelligent agents using frameworks such as LangChain, LangGraph, LangFlow, or similar; • Build RAG (Retrieval-Augmented Generation) solutions integrated with internal data sources; • Integrate AI models via APIs and cloud platforms, ensuring LLMOps best practices; • Contribute to the evolution of the Data Products architecture, supporting data democratization initiatives and future AI & ML solutions; • Collaborate with cross-functional teams to define technical standards, architecture, and development best practices.

🎯 Requirements

• Experience developing applications with generative AI and Large Language Models (LLMs); • Familiarity with frameworks such as LangChain, LangGraph, LangFlow, or similar; • Experience with agent-based architectures (AI Agents); • Experience implementing RAG (Retrieval-Augmented Generation) solutions; • Knowledge of LLMOps practices for developing, deploying, and monitoring AI applications; • Experience with cloud AI platforms such as AWS Bedrock (AgentCore), Google Vertex AI, or Azure OpenAI; • Experience developing and consuming REST APIs; • Proficiency in Python and software engineering best practices; • Experience with observability, monitoring, and application security; • Knowledge of microservices architecture and distributed applications; • Experience with cloud environments (AWS, Azure, or GCP); • Experience with source control using Git and CI/CD pipelines is a plus.