AI/ML Developer
- Integrate LLM APIs (OpenAI, Anthropic, Google Gemini, Perplexity, etc.) into internal and customer-facing applications.
- Build end-to-end multimodal AI solutions that process and understand text, images, audio, and video.
- Develop and maintain automated workflows using platforms such as n8n, Make, or custom-built orchestration tools.
- Design and implement RAG pipelines to connect AI systems to internal datasets and knowledge bases.
- Work with speech-to-text, text-to-speech, and media generation models to enhance user experiences.
- Craft, test, and refine prompts and agent-style instructions for a wide range of AI tasks.
- Build and maintain data pipelines, vector databases, embeddings, and supporting infrastructure.
- Partner with cross-functional teams to identify pain points and create AI-powered automations that improve efficiency and reduce operational costs.
- Solid coding fundamentals in Python or JavaScript.
- Experience integrating APIs (REST, JSON, webhooks,
- Strong “workflow mindset” — the ability to break down processes into steps and automate them.
- Comfort working with structured and unstructured data (JSON, CSV, basic DB operations).
- A genuine curiosity about AI and proven desire to experiment with emerging tools.
- Resourcefulness, independence, and a problem-solving approach.
- Personal or side projects where you’ve combined multiple AI tools or built automations.
- Experience coding in GoLang or Dart (bonus for Flutter familiarity).
- Automation of your own workflows or productivity systems.
- A history of sharing work publicly — GitHub repos, blog posts, demos, or social content.
- Participation in AI hackathons, meetups, or online AI communities.
- Work directly with leadership on high-impact AI initiatives.
- Build production systems used by nationwide field users and enterprise clients.
- Opportunity to shape the future of property insights through modern AI capabilities.
- Experiment freely — we value creativity, curiosity, and rapid iteration.
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