Senior Full-Stack Engineer (AI-Assisted Development - Vibe coding)

Job ID: 39746743

Budget: ₹37,500 – ₹75,000 INR

Job Description – Senior Full-Stack Engineer (AI-Assisted Development - Vibe coding)

We are looking for a Senior Full-Stack Engineer with strong backend/cloud expertise and proven frontend delivery skills to build and deploy our MVP. The project will be executed in 8 weeks, using a mix of AI-assisted development (Vibe coding) and manual engineering to ensure both speed and production-grade reliability.

Responsibilities

Architect, build, and deploy the MVP end-to-end on AWS (EKS, RDS, S3, CloudFront, IAM).

Set up Terraform infrastructure with multi-environment support (dev/stage/prod).

Implement authentication, organizations/teams, and project schema.

Build secure storage flows (presigned S3 uploads, asset DB, artifact storage).

Design and integrate metered billing with Stripe (subscriptions, webhook security, credit ledger).

Develop a render queue system with GPU orchestration (RunPod/EKS) and ComfyUI integration.

Deliver a responsive frontend using Next.js, React, TailwindCSS, and shadcn/ui.

Implement drag-and-drop editor (React DnD) and export functionality (Resolve/Premiere XML).

Ensure strong observability, logging, and least-privilege IAM practices.

Provide documentation and handover at project completion.

Requirements

Proven experience with AWS EKS and Terraform in production environments.

Strong backend skills in Node.js or Python (FastAPI).

Expertise in PostgreSQL (RDS/Aurora) and Redis (ElastiCache).

Hands-on experience with Stripe metered billing, webhook security, and credit systems.

Designed and implemented job queues, GPU workers, and scalable artifact storage.

Strong API design and security foundations.

Frontend delivery experience with Next.js, React, Stripe.js integration.

Solid DevOps mindset: CI/CD, observability (OpenTelemetry), dashboards.

Nice-to-Haves

Experience with media pipelines (FFmpeg, image/video workers).

Familiarity with ComfyUI or Unreal Engine MRQ.

Experience with workflow automation tools (e.g., n8n).

Outcome

By the end of the engagement, you will deliver a deployed MVP where users can:

Sign up, create organizations/teams, and upload footage/scripts.

Select cinematic templates and refine them via a drag-and-drop editor.

Submit renders, track job progress, and download exports (media + XML).

Manage billing and credits through Stripe.

Engagement Details

Duration: 6-8 weeks

Method: Blend of AI-assisted coding (Vibe coding) + manual engineering

Engagement type: Full project build with documentation and handover