Description

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 (2024 & 2025), and rated 4.9/5 on Glassdo

Mission

Doorloop is seeking a motivated and curious AI Engineer Associate to join our fast-growing team. In this entry-level role, you’ll work alongside experienced AI engineers to support the development and integration of intelligent systems powered by large language models (LLMs).

You’ll help build tools, test models, and contribute to real-world product features — all while developing your skills in AI/ML technologies through hands-on experience and mentorship.

This is the ideal role for someone early in their career who is excited about AI.

Responsibilities

• RLangChain/LangGraph Development: Build and maintain modular, scalable LLM-powered agents and tools using LangChain and/or LangGraph.
• Retrieval-Augmented Generation (RAG): Implement RAG-based solutions to improve AI responses using external knowledge bases.
• API & Backend Integration: Work with software engineers to integrate AI systems into backend infrastructure and expose them via APIs.
• AI Agent Development: Design, build, and deploy autonomous AI agents that can reason, and execute multi-step tasks using LLMs, tools, memory, and APIs.
• Experimentation & Evaluation: Continuously refine models using A/B testing, human feedback loops, and AI evaluation metrics.
• Stay Updated: Keep up with the latest LLM advancements and best practices in the AI industry.
• Product applications: Apply LLMs and agents to real-world scenarios that solve meaningful user problems.
• Product implementation: Work closely with the product team to ensure that delivery is aligned with expected product requirements
• Response validation: Implement a process to ensure accurate KPI measurement and consistent, expected outcomes.
• Typescript Integration: (Preferred) Help implement and maintain AI modules and integrations using Typescript-based stacks.
  
  

Requirements

• 0–2 years of hands-on experience in AI/ML (internships, personal projects, or academic experience are welcome).
• Proficiency in Python and familiarity with Typescript (or willingness to learn).
• Exposure to LLMs (e.g., OpenAI, Claude, Mistral) and how to interact with them through APIs.
• Understanding of prompt engineering, NLP workflows, or AI pipelines (project experience is a plus).
• Familiarity with software development best practices, version control (Git), and debugging.
• Strong desire to learn and contribute in a collaborative, fast-paced environment
• Bachelor's degree in Computer Science, or a related technical field.
• LangChain, LangGraph, or other LLM orchestration frameworks.
• Familiar with cloud services (AWS / GCP / Azure).
• Passion for building and experimenting with AI tools and technologies