Chamberlain Group · CA, United States
Skills: Node.js, Python, AWS
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily.
This role is a cornerstone in our shift toward AI-native experiences — moving beyond traditional ML and into systems that reason, act, and collaborate autonomously using foundation models. This role will be responsible for architecting and building LLM-based agents that integrate with real-world tools and APIs, orchestrate tasks across roles, and scale intelligently in production environments.
Job Responsibilities:
Oversee the design, development, and deployment of AI features within Chamberlain products such as: Video-based search using LLMs, Chatbot interfaces for search and AI-generated insight, backend pipelines and APIs for AI feature delivery. Architect and build agentic AI systems using LLMs, RAG, MCP, tool integration, and orchestration frameworks. Design role-based architectures where agents collaborate through coordination protocols and memory management. Build, test, and optimize pipelines using tools such as LangChain, LangGraph, and CAMEL. Develop systems for agent reasoning, planning, and long-term memory retrieval to enable contextual conversations and task execution Work across product, engineering, and AI research teams to ensure scalable and performant deployment of assistants Drive decision-making around tooling, infrastructure, observability, and production-readiness. Mentor engineers across the org in AI-native engineering patterns, architecture, and LLM ecosystem evolution Ensure end-to-end delivery across frontend, backend, and ML components, and drive code quality, scalability, and maintainability best practices Act as the technical voice in roadmap discussions and sprint planning Define…
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