🚀 About the Company

We’re partnering with a well-funded, early-stage startup that’s revolutionizing residential real estate with an AI-powered platform unifying e-signatures, payments, compliance workflows, and intelligent automation. Backed by $6M in seed funding and an elite investor network, the team is now building its founding engineering team from scratch.

🧠 The Opportunity

We’re seeking 1–3 Senior AI/ML Engineers to work closely with the CTO and CEO to design and build advanced machine learning systems that power automation across real estate workflows. This is a rare opportunity to architect, design, and implement NLP, document understanding, and AI-driven automation from the ground up, with direct ownership over the models and systems that will shape the product and technical trajectory of the company.

🔧 What You’ll Do

• Design, develop, and deploy production-ready machine learning models for NLP, document parsing, and workflow automation, establishing best practices for model lifecycle management.
• Lead the technical implementation of AI-driven contract creation, e-signature verification, and payment automation systems.
• Integrate complex ML solutions with modern web technologies using React, Next.js, TypeScript, and Node.js.
• Architect scalable AI services in a microservices framework, leveraging Supabase, Vercel, and other modern dev tools, while mentoring junior team members.
• Establish and maintain robust ML pipelines, model monitoring, and CI/CD for AI systems.
• Research and implement state-of-the-art algorithms in NLP, embeddings, LLMs, and structured data to maintain a competitive edge.
• Drive technical decision-making and contribute significantly to the overall product and engineering strategy.

💡 What We’re Looking For

• 5+ years of professional experience in AI/ML or related software engineering roles, with a track record of deploying systems to production.
• Expert proficiency in Python, PyTorch/TensorFlow, and core ML frameworks.
• Deep experience with NLP, OCR, or document understanding systems, ideally in a regulated or high-accuracy domain.
• Proven ability to architect and scale ML systems in a cloud environment (AWS, GCP, or Azure).
• Experience with React, Next.js, TypeScript, and Node.js preferred for seamless integration with production platforms.
• Comfortable taking high-level ownership in zero-to-one environments with high ambiguity and significant impact.
• Bonus: Experience in proptech, fintech, or compliance automation, and working with production-level LLMs, embeddings, or generative AI.
• Must be U.S.-based (remote-first, with hubs in Miami, NYC, SF, or LA preferred).

🎁 What You’ll Get

• Competitive salary + meaningful early equity reflective of a senior, founding role.
• Direct technical and architectural ownership of AI/ML systems that impact real-world workflows.
• A chance to shape product architecture and engineering culture from the ground up.
• Remote flexibility with high autonomy and purpose.
• Work on a fast-moving, mission-driven team solving complex real-world problems.

Ready to build and architect AI systems that redefine real estate workflows? Apply now and join a founding team driving innovation from day one.

#LI-DN1

Required Location:

• Must be U.S.-based (remote-first)
• Preferred hubs: Miami, NYC, San Francisco, Los Angeles
• Must be available to work U.S. time zones

Required Industry/Domain:

• Artificial Intelligence / Machine Learning Engineering
• SaaS/Software Development
• FinTech or compliance/workflow automation platforms
• Document automation / contract intelligence systems

Must-Have Experience:

• 5+ years of professional experience in AI/ML or ML-adjacent software engineering roles
• Production experience deploying ML systems (not just research or prototypes)
• Strong Python expertise with hands-on experience in PyTorch or TensorFlow
• Experience building or deploying NLP, OCR, or document understanding systems
• Experience working in cloud environments (AWS, GCP, or Azure)
• Ability to operate in 0-to-1 environments with high ownership and ambiguity

Strong Preferences:

• Experience building production LLM-based systems, embeddings, or generative AI applications
• Full-stack exposure (React, Next.js, TypeScript, Node.js) for product integration
• Experience with microservices architecture and scalable AI system design
• Background in proptech, fintech, legaltech, or compliance automation
• Experience building ML pipelines, CI/CD for ML systems, or model monitoring frameworks
• Experience working directly with founders or in early-stage startups

Deal Breakers:

• No production ML experience (research-only or academic background)
• No Python or core ML framework experience
• No experience with NLP, OCR, or applied ML systems
• No cloud deployment experience (AWS/GCP/Azure)
• Not U.S.-based or unable to work U.S. hours
• Pure software engineering background with no ML/AI systems experience

Score Cap Rules:

• No production ML deployment experience: Maximum score 70
• No Python + PyTorch/TensorFlow experience: Maximum score 65
• No NLP / OCR / document understanding experience: Maximum score 70
• No cloud ML system deployment experience: Maximum score 75
• No experience building LLM/GenAI/embedding-based systems: Maximum score 80
• No 0-to-1 / startup / founding team experience: Maximum score 80
• No full-stack integration experience (React/Node/Next.js): Maximum score 85
• Not U.S.-based or cannot work U.S. hours: Maximum score 60