Backend AI Engineer

About DoorLoop

DoorLoop is property management software built for speed and the smart choice for people who take growth seriously. With offices in Miami, New York City, and Tel Aviv, we’re a global company helping property owners and managers move faster, scale smarter, and get real support, real fast.

We’re proudly People First. That’s why we’re a Certified Great Place to Work, recognized by Forbes as one of America’s Best Startup Employers in both 2024 and 2025, and earn top ratings on Glassdoor.

Mission

DoorLoop is seeking a highly skilled Backend AI Engineer to design and implement complex, multi-agent systems powered by LLMs.

In this role, you will build and orchestrate AI agents using LangGraph and LangChain, manage stateful conversations, and support scalable RAG pipelines that connect external knowledge sources to reasoning agents. You’ll work closely with product and backend teams to deliver real, production-grade AI capabilities.

Responsibilities

• Integration & Deployment: Work with engineers to integrate the agentic framework into production systems via APIs and backend services.
• Agent Orchestration: Design, build, and maintain networks of LLM-powered agents that collaborate, share context, and reason together to execute complex workflows.
• LangGraph Architecture: Implement and manage LangGraph graphs that handle message memory, context persistence, and multi-step task coordination.
• RAG Pipelines: Optimize RAG systems to enrich agent reasoning with relevant, up-to-date information.
• Prompt & API Composition: Build modular prompt templates and API calls that agents use for reasoning, retrieval, and action execution.
• Evaluation & Iteration: Implement evaluation frameworks to measure performance, reliability, and consistency of AI responses across multi-agent pipelines.
• Cross-Team Collaboration: Partner with product and engineering teams to align AI behaviors with real user workflows and KPIs.

Requirements

• 5+ years of experience as a backend developer, with Node.js (TypeScript).
• Strong expertise in distributed systems, microservices, event-driven architectures, and scalable APIs.
• Experience with REST APIs
• Strong understanding of system design, performance tuning, and reliability engineering.
• Experience deploying and monitoring systems in production environments.
• Experience with using LangGraph / LangChain or similar frameworks.
• Python and MongoDB are an advantage.

Benefits

Compensation Range

How we use AI

We may use AI tools to help review resumes and applications, with human oversight at all times. Please review our privacy policy.