AI Systems Builder - Real Estate
New
A
AssistantlyReal Estate
PhilippinesFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 3+ years
- Required Skills
- Artificial IntelligenceNotionLLM
Requirements
- 3+ years of hands-on experience building AI tools, systems, workflows, platforms, or technical solutions from scratch or near-scratch
- Experience developing practical AI solutions beyond LLM prompting, including structured workflows, automations, apps, dashboards, or custom tools
- Proven ability to rapidly prototype and iterate on MVPs in fast-moving experimental environments
- Strong skills in producing clear technical documentation for workflows, tool logic, implementation steps, and user instructions
- Hands-on experience using LLM tools such as Claude and ChatGPT to build AI-enabled solutions
- Experience building custom automations and integrations across tools and platforms
- Familiarity with real estate workflows, real estate agent audiences, or real estate content operations
- Professional English proficiency suitable for writing documentation and end-user resources
- Experience creating educational or client/member-facing AI resources, such as guides, frameworks, templates, or interactive tools (Preferred)
- Working proficiency with documentation and resource systems like Notion, Google Docs, or Airtable (Preferred)
Responsibilities
- Build scalable AI-powered tools, platforms, and workflow systems for internal operations and real estate use cases
- Develop practical AI solutions beyond prompting, including structured workflows, automations, apps, dashboards, and custom tools
- Collaborate with team members to improve, test, and expand existing AI initiatives
- Create AI-based resources for real estate agents, such as guides, frameworks, templates, and interactive tools
- Rapidly iterate on prototypes and MVPs based on feedback and evolving business needs
- Evaluate new AI tools, LLMs, and platforms to optimize operations, content production, and client/member experience
- Document workflows, tool logic, implementation steps, and user instructions for both technical and non-technical audiences
- Productize internal AI outputs into polished resources for teams, agents, clients, and members
- Troubleshoot issues across AI tools, automations, integrations, and platform workflows
- Proactively experiment and recommend improvements in a fast-paced AI environment
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