Role: Full-Stack Developer
Type: Full-time Reports to:
Project Manager / Operating Partner
The Company We are building a vertically integrated, AI-native operating platform for institutional real estate investment. The platform automates and connects every stage of the investment lifecycle — from acquisition through renovation, leasing, and refinance — replacing manual processes with code, AI, and SaaS integrations. Remote-first, no on-ground employees.
How We Build Software We follow an automation-first hierarchy: code first, then specialized AI, then LLMs, then offshore humans, then US contractors. Humans are the last resort, not the first option. All feature work follows a spec-driven development approach. You are an engineer who directs AI, not a typist who writes every line by hand. If you think what took an hour still takes an hour or AI coding tools are a gimmick, this is not the role.
Role Summary Build and scale the platform across core operational modules: deal intake, underwriting, renovation tracking, property management, and refinance workflows. You own end-to-end features across frontend, backend, data, and integrations. The work involves financial models and real estate analytics, not just web forms.
Full-Stack Feature Delivery
Build production features across the wholesaler portal and internal back-office platform. Translate product specs into shipped software with minimal supervision.
- Underwriting dashboards with financial calculation displays
- Renovation data aggregation and progress views
- Property performance and portfolio analytics
Integrations & Data Orchestration
The architecture aggregates data from multiple SaaS modules into one unified platform intelligence layer. Integrate third-party SaaS systems via APIs (CRM,
construction management, property management, inspection, valuation, and finance tools)
- Build data pipelines into the central repository (Aurora + S3)
- Normalize external data into platform schemas with clean domain boundaries
Backend Services & AI Layer
Underwriting and intelligence engines run as backend services integrated with AI models. Primary backend is Node.js/Next.js server components, with Python/FastAPI for calculation-heavy and AI services.
- Build Node.js APIs and Next.js server components for core platform logic
- Implement calculation engines for underwriting and financial analysis
- Integrate AI/RAG services (AWS Bedrock, SageMaker) where Python services are required • Design event-driven workflows across platform modules
Frontend Platform UX:
The platform runs on Next.js with server components. Build responsive dashboards and portals (Next.js / React / TypeScript)
-Implement authentication flows (AWS Cognito), forms, and analytics views
- Connect frontend to backend microservices and SaaS APIs
- Optimize performance and cost on AWS (Amplify, Aurora, S3, Cognito, SES)
- AI-Native Development Workflow This is not a bolt-on. Use Claude Code as primary development tool for task execution
- Follow spec-driven development: write specs first, then orchestrate AI agents to implement
- Work within agentic coding teams under Claude orchestration
- Continuously improve prompts, specs, and agent workflows for higher output quality
Tech Stack
Layer Technologies
Frontend:Next.js, React, TypeScript, Tailwind CSS
Backend (Primary):Node.js, Next.js Server Components
Backend (AI/Calc): Python, FastAPI (for AI and calculation services)
Data & Cloud:AWS Amplify, Aurora (PostgreSQL), S3, Cognito, SES
AI / Analytics:AWS Bedrock, SageMaker, RAG pipelines
Integrations: CRM, construction management, property management, inspection, valuation, and finance SaaS tools via REST APIs and more.
Claude Code, Jira/Azure devops, spec-driven workflows, agentic teams
4+ years full-stack production experience
- Strong Next.js and React production experience (this is the primary framework)
- Node.js backend API development
- AWS production deployment experience
- SQL and data modeling (PostgreSQL preferred)
- Experience integrating third-party SaaS APIs
- Proficiency with AI-assisted development (Claude Code, Cursor, or similar), or demonstrated ability to adopt current tooling fast
- Experience with spec-driven or AI-orchestrated development workflows
Python/FastAPI for calculation or AI service layers • Workflow/automation system design
- Data pipelines and ETL experience
- AI/LLM integration in production • Dashboard, ERP, or fintech-style application development
60 Days: Shipping MVP features end-to-end using the Claude Code workflow.
6 Months: Owning a full platform domain end-to-end. Writing high-quality specs that agents can execute reliably. Ships fast within structured systems. Comfortable across the full stack. Adopts AI-native development as a force multiplier, not a threat.
📌 Full-Stack Software Engineer (Frontend, Remote) (Delhi)
🏢 Masaj
📍 Delhi