Full-Stack Developer (AI-Powered SaaS)

Snaphomz is building an AI-first real estate platform that helps buyers, sellers, and agents make confident decisions across discovery, evaluation, negotiation, and transactions. Our platform blends modern frontend experiences, serverless cloud infrastructure, AI orchestration, and real-world data integrations to deliver practical, scalable products used by real customers.

We are open to full-time, freelance, and part-time engagements. Were looking for an experienced full-stack developer who thrives in a startup environment and enjoys building systems end-to-end. This role is ideal for someone who can take ownership from idea to deployment and understands how frontend, backend, cloud, and AI systems come together.

Role Overview

You will play a key role in building, optimizing, and scaling the Snaphomz platform. You’ll work closely with AI, product, and design teams to deliver reliable, scalable, and well-designed applications. Your work will span modern frontend dashboards and tools, backend APIs and AI service orchestration, and cloud infrastructure that supports static hosting, serverless workloads, and global delivery.

You will contribute directly to user-facing experiences such as agent dashboards, conversational search interfaces, and internal tools, while also building the backend services and pipelines that integrate with external systems like MLS organizations, payment systems, auth services, and other relevant third party integrations. This is a hands-on role with real ownership and visible impact.

Responsibilities

You will design, build, and maintain the Snaphomz web platform using Next.js, React, Node.js, and modern frontend best practices. You will develop backend services and APIs using Node.js and Python frameworks such as FastAPI and Flask, powering AI-driven workflows, integrations, and data pipelines.

You will work extensively with AWS, including static hosting and global delivery using S3, CloudFront, and Route 53, and serverless application development using Lambda, API Gateway, and event-driven patterns. You will implement and manage email and notification workflows using services such as SES, and understand how these components fit together in production environments.

Infrastructure will be treated as code. You will define, generate, and maintain deployment pipelines using AWS CDK, Docker containers, and YAML-based configurations. You will be responsible for understanding and improving deployment procedures, environment management, and release workflows.

You will design and work with scalable data models using MongoDB, PostgreSQL, Redis, and Firebase, ensuring performance, reliability, and clean abstractions. You will integrate external APIs such as MLS, Plaid, and Realfinity to support property, financial, and transactional data flows.

You will collaborate closely with AI engineers to integrate LangChain or Emergent E1 agents, TorchServe models, and RAG-based APIs into production systems. You will help implement real-time features including notifications, event tracking, and custom CRM-like functionality, and optimize performance through caching strategies and CDN layers.

CI/CD is a core part of the role. You will set up, maintain, and improve pipelines using GitHub Actions, ensuring smooth deployments across platforms such as AWS, Vercel, GCP, or OCI. You will maintain clean, modular, and well-documented code, follow best practices, and participate actively in code reviews and technical discussions.

You will also explore, evaluate, and implement modern AI and automation tools, including components from Google Labs and Vertex AI, where they add real product value.

Skills & Qualifications

Must-Have

• 2–5 years of hands-on experience in full-stack development
• Strong proficiency in JavaScript and TypeScript with Next.js and React
• Solid backend experience with Node.js and Python (FastAPI or Flask)
• Strong understanding of RESTful APIs, data modeling, and distributed systems
• Hands-on experience with AWS services including S3, Cognito, CloudFront, Route 53, Lambda, API Gateway, and SES
• Experience with Docker, containerized deployments, and YAML-based configuration
• Experience with MongoDB, PostgreSQL, Redis, and Firebase Authentication
• CI/CD experience using GitHub Actions and Git-based workflows
• Experience integrating AI services such as OpenAI, Gemini, LangChain, or equivalent
• Strong debugging, problem-solving, and communication skill…