SabPaisa - Fullstack AI Developer

Reposted 23 Days Ago
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Delhi, Connaught Place, New Delhi, Delhi, IND
In-Office
Mid level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Build and maintain merchant-facing payment products (onboarding, dashboards, checkout, transaction history). Develop payment APIs, integrate with banks/payment partners, design DB schemas for high-throughput transactions, use AI coding tools to accelerate development while validating AI-generated code, ship features end-to-end, and maintain production reliability.
Summary Generated by Built In

About the Role

You will build and own payment products used by 10,000+ merchants—payment gateways,

merchant dashboards, KYC systems, and subscription engines. You'll work in a small squad (2-4

engineers) with end-to-end responsibility from database schema to production deployment.

AI tools (Cursor, Claude, Copilot) are part of daily workflow. You'll use them to accelerate

development—scaffolding, debugging, documentation—while applying your judgment for

security, edge cases, and business logic.

Roles & Responsibilities

 Build and maintain merchant-facing products—onboarding flows, dashboards,

payment checkout pages, transaction history

 Develop payment APIs—transaction processing, webhook handling,

settlement reconciliation, refund workflows

 Integrate with banking and payment partners—UPI/NPCI, card networks, net

banking, wallets, eKYC providers

 Design database schemas and write optimized queries for high-throughput

transaction processing

 Use AI coding tools (Cursor, Claude, Copilot) to accelerate development—

code generation, debugging, documentation, refactoring

 Review and validate AI-generated code for security vulnerabilities, edge

cases, performance issues, and business logic correctness

 Ship features end-to-end—from understanding requirements to production

deployment and monitoring

 Debug production issues, respond to incidents, and maintain system

reliability

Tech Stack

React, Next.js, TypeScript, Node.js, Python, PostgreSQL, Redis, MongoDB, AWS, Docker,

Kubernetes

Requirements

 3-5 years building web applications with at least one product shipped to

production

 Proficiency in React/Next.js and Node.js or Python

 Solid SQL skills—writing queries, understanding indexes, query optimization

 Experience using AI coding tools (Copilot, Cursor, or similar) in development

workflow

 Ability to review and validate AI-generated code for correctness and security

 Comfortable working with ambiguous requirements and iterating based on

feedback

Good to Have

 Experience with payment systems, UPI integration, or fintech domain

 Exposure to LLM APIs, prompt engineering, or AI-powered feature

development

 Open-source contributions or side projects demonstrating initiative

Benefits

 Competitive compensation + equity

 Hybrid work — 3 days in office

 Health insurance for you and family

 Learning budget for courses and conferences

 Equipment of your choice

About SabPaisa

SabPaisa is an RBI-approved Payment Aggregator building inclusive payment infrastructure for

10,000+ merchants across education, healthcare, retail, and services.

Skills Required

  • 3-5 years building web applications with at least one product shipped to production
  • Proficiency in React/Next.js and Node.js or Python
  • Solid SQL skills including query writing, index understanding, and query optimization
  • Experience using AI coding tools (Copilot, Cursor, or similar) in development workflow
  • Ability to review and validate AI-generated code for correctness and security
  • Comfortable working with ambiguous requirements and iterating based on feedback
  • Experience with payment systems, UPI integration, or fintech domain
  • Exposure to LLM APIs, prompt engineering, or AI-powered feature development
  • Open-source contributions or side projects demonstrating initiative
Am I A Good Fit?
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The Company
100 Employees

What We Do

NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.

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