Software Engineer

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 write specs, orchestrate Claude Code agents, review output, and iterate. 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. Responsibilities 1. 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. • Deal submission, tracking, and offer management workflows • Underwriting dashboards with financial calculation displays • Renovation data aggregation and progress views • Property performance and portfolio analytics 2. Integrations & Data Orchestration The architecture aggregates data from multiple SaaS modules into one unified platform intelligence layer. You build and maintain these integration pipelines. • 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 3. 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 4. Frontend Platform UX: The platform runs on Next.js with server components. You build responsive dashboards, portals, and internal tools. • 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 • Maintain clean, reusable component architecture 5. System Architecture & Scalability • Design modular services aligned to platform domains (acquisitions, renovation, PM, refinance) • Maintain clean boundaries between modules so SaaS tools are replaceable • Optimize performance and cost on AWS (Amplify, Aurora, S3, Cognito, SES) • Ensure reliability across multiple third-party integrations 6. AI-Native Development Workflow This is not a bolt-on. It is how we work daily. • 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. Dev Tooling: Claude Code, Jira/Azure devops, spec-driven workflows, agentic teams Requirements Must-Have: 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 new tooling fast • Experience with spec-driven or AI-orchestrated development workflows Strong Plus : • 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 What Success Looks Like: 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. Operating within multi-agent development workflows and improving them. Candidate Profile: Builder mindset. Ships fast within structured systems. Comfortable across the full stack. API-first thinker. Systems thinker who sees patterns and designs for repeatability. Adopts AI-native development as a force multiplier, not a threat.