AI Full Stack Engineer

Job Description

Job Title: AI Full-Stack Engineer
Experience Required: 2+ Years

About the Role
Reinvent Digital is looking for an AI Full-Stack Engineer who builds fast with AI-assisted (vibe coding) tools, writes clean and reliable full-stack code, and owns deployment and infrastructure end-to-end.

Key Responsibilities:

Backend Development

• Develop scalable REST APIs using Node.js (Express.js)
• Design and optimize MongoDB schemas for analytics data
• Implement multi-tenant architecture ensuring strict data isolation
• Build incremental data synchronization logic using timestamps (e.g., updatedAt)
• Optimize database queries for handling large datasets (36 months analytics data)

Data & Performance

• Implement efficient data handling (upsert, deduplication)
• Ensure fast query performance using indexing and optimized queries
• Design backend systems for scalable analytics dashboards

Frontend Development

• Build responsive UI using React.js
• Develop analytics dashboards with charts and data visualizations
• Integrate APIs with handling of large datasets and filters (date range, source, etc.)
• Implement basic state management (Context API / Redux if needed)

AI-Assisted Development (Vibe Coding)

• Use Cursor, Claude Code, Windsurf or GitHub Copilot daily to build and ship complete features end-to-end
• Break features into clear prompts and manage context using project rules files and relevant code references
• Review, test and debug all AI-generated code before it reaches production; never ship code you cannot explain
• Rapidly prototype ideas with tools like Lovable, Bolt or v0 and harden them into production-ready code
• Share AI coding workflows and best practices with the team

DevOps & Deployment

• Containerize applications with Docker and manage deployments on AWS / GCP, VPS, Vercel or Railway
• Set up and maintain CI/CD pipelines (GitHub Actions) with automated tests, linting and build checks
• Manage dev, staging and production environments, including environment variables and secrets
• Configure Nginx / reverse proxies, domains, SSL certificates and basic cloud networking
• Implement logging, monitoring and alerting (e.g., PM2, Sentry, Grafana, uptime checks)
• Manage database backups, restore procedures and safe deployments with rollback plans
• Track and optimize infrastructure costs

Debugging & Issue Resolution

• Reproduce, isolate and resolve production bugs across frontend, backend and infrastructure layers
• Log every bug with a unique ID, severity (P0P3), root cause and fix
• Write short postmortems for critical issues and add tests or validation to prevent repeats
• Keep stakeholders updated during incidents in clear, simple language

Required Skills
Backend

• Node.js (Express.js)
• MongoDB (Schema design, indexing, performance optimization)
• REST API Development
• Multi-Tenant Architecture (tenantId-based data isolation)
• Data Synchronization (incremental sync using timestamps like updatedAt)
• Database Performance Optimization (query optimization, indexing)

Frontend

• React.js
• Dashboard Development (charts, analytics UI)
• API Integration (handling large datasets, filters, date ranges)
• State Management

Vibe Coding (AI-Assisted Development)

• AI Tool Proficiency: Hands-on daily use of Cursor, Claude Code, Windsurf or GitHub Copilot to build complete features end-to-end
• Effective Prompting & Context Management: Breaks a feature into clear prompts, gives the AI the right files and context, and uses rules files to keep output consistent
• Code Review & Debugging of AI Output: Reads, understands and corrects AI-generated code instead of accepting it blindly, and can fix issues when the AI gets stuck
• Rapid Prototyping to Production: Turns an idea into a working prototype quickly (Lovable, Bolt or v0) and hardens it into production-ready, deployed code

DevOps

• Git & GitHub (branching, pull requests, code reviews)
• Docker and Docker Compose
• CI/CD Pipelines (GitHub Actions or similar)
• Linux Server Management (SSH, Nginx, PM2, SSL)
• Cloud Deployment (AWS / GCP / VPS / Vercel / Railway)
• Environment and Secrets Management
• Monitoring and Logging (Sentry, Grafana, uptime monitoring)
• Database Backup and Recovery

Integrations

• Webhooks and Third-Party API Integrations
• OAuth and Authentication Flows
• CRM Integrations (GoHighLevel preferred)

Soft Skills

• Clear communication in English and Hindi
• Strong ownership mindset and comfort with unclear requirements
• Good documentation habits

Preferred Qualifications

• Experience building analytics dashboards or reporting systems
• Understanding of data pipelines / ETL concepts
• Ability to design scalable backend systems
• TypeScript experience
• n8n / Make automation experience
• Meta Conversions API, Google Ads, GA4 or Search Console API integrations
• WhatsApp Business API experience
• Exposure to Kubernetes or Infrastructure as Code (Terraform)
• Prior healthcare software experience and awareness of patient data privacy (DPDP Act)
• Portfolio of live, deployed projects (GitHub plus working links)

How to Apply:

Interested candidates can share their profile/resume at: [email removed]

Please include your GitHub profile and links to at least one live, deployed project.