Full Stack Engineer
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**Job description**
**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 skills
**Nice\-to\-Have**
* Experience in proptech, fintech, or real estate\-related integrations * Prior work on multi\-tenant SaaS platforms or data\-heavy dashboards * Exposure to RAG architectures, AI orchestration, and agentic workflows * Familiarity with serverless patterns, GraphQL, or gRPC * Experience with Vertex AI, Google Labs tools, or similar AI platforms
**Why Join Snaphomz**
You’ll work on true end\-to\-end product ownership, from concept to production, for a US\-based entity. You’ll collaborate with AI engineers, data scientists, and designers shaping the next generation of real estate technology. You’ll have the opportunity to experiment with cutting\-edge AI and automation tools while building systems that actually ship and scale. Snaphomz offers a growth\-focused startup culture with real autonomy, clear impact, and meaningful technical challenges.
Role: Full Stack Developer
Industry Type: Software Product
Department: Engineering \- Software \& QA
Employment Type: Full Time, Permanent
Role Category: Software Development
**Education**
UG: B.Tech / B.E. in Computer Science and Engineering (CSE)
Pay: ₹300,000\.00 \- ₹800,000\.00 per year
Work Location: In person
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