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Viral Pitch: Influencer Marketing Platform

Full Stack AI Engineer

Viral Pitch: Influencer Marketing Platform
Gurugram, Haryana On-site
On-Site Full-Time Gurugram, Haryana India

About the Role

Company Description

Viral Pitch is building the next-generation AI-powered CRM & Relationship Management platform designed exclusively for influencer marketing—globally scalable, multilingual, multi-currency, and geo-adaptive. We're backed by experience, execution, and a clear vision to transform how brands and creators collaborate at scale.

We’re now assembling a lean, AI-native team that leverages tools like GitHub Copilot, GPT-4, and LangChain to ship fast, smart, and scalable code.

What You will Build

You’ll be the tech backbone of our core CRM system, responsible for:

Architecting and developing our web platform (frontend + backend)
Integrating GPT-based AI modules for communication, personalization, and automation
Building APIs to manage influencer profiles, payments, campaigns, chatbots, and compliance
Scaling across geographies with localization, currency formatting, time zones, and compliance logic

Tech Stack

Frontend: React.js / Next.js, Tailwind, TypeScript, i18n
Backend: Node.js (NestJS preferred) or Laravel, PostgreSQL, Redis
AI/ML: OpenAI (GPT-4), LangChain, Pinecone, Whisper, DeepL
DevOps: Docker, GitHub Actions, Vercel/AWS
Collaboration: GitHub, Notion, Slack, Linear

Requirements

2–6 years of experience building and deploying full-stack SaaS applications
Strong command of JavaScript/TypeScript (Node.js + React)
Experience with relational databases (PostgreSQL preferred)
Comfort working with AI APIs (e.g., OpenAI, DeepL, LangChain)
Experience integrating third-party APIs (payment gateways, auth, CRMs, etc.)
Fluent with Git, Agile workflows, API-first development
Strong grasp of scalable architecture & modular code design
Ability to use AI tools like GitHub Copilot, ChatGPT, and Prompt Engineering to accelerate dev cycles

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Application Status

Application Draft

In Progress

Submit Application

Pending

Review Process

Expected within 5-7 days

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