Vibe coder

October 7, 2025
Application ends: October 31, 2025
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Job Description

Location: Andheri, Mumbai.

About Us:
Founded in 2007, E-commerce company, Ergode with a global reach of more than 120 countries and over 100 marketplaces. We have catered to over 5 million customers worldwide in a short amount of time. Currently, we have 21 curated websites that bring to our customers. We are a Houston, Texas based corporation and have been in the business for almost 15 years. We have a dedicated and strong team of 650+ associates and we are continuously adding new people to our team. Ergode is consistently ranked among the top online shopping destinations as we have been rated as the Top 30 Sellers on Amazon, and Top 5 in Walmart, and have also managed to achieve the number 1 ranking on eBay.

Our Businesses | AMI VENTURES INC. | VIR VENTURES INC. | BOSON TECHNOLOGIES |

Our Brands | MALCO MODES | BELLA SOUS | RED CUP LIVINGS | KEEBLE OUTLETS | STORE INDYA | VIZARI SPORTS | SHALIN INDIA | WRISTY BUDDY I BOLABALL I US TECH I HERBAL CONCEPTS | MORNING STAR | YARDLIO | KOZI | CLEAR BOTTLE |

Key Responsibility:
Collaborate with AI coding assistants (e.g., Cursor, Bolt, Claude Code, GitHub Copilot, Replit) to build, refactor, and debug applications.
Design and refine prompts for optimal AI-generated code output.
Integrate AI-generated components with existing codebases while ensuring scalability and maintainability.
Design, develop, and deploy AI-driven tools, applications, and automation frameworks that streamline processes, improve efficiency, and create cross-team capabilities across Product, Marketing, Operations, Data, and Customer Experience.
Understand requirements from multiple departments and translate them into scalable AI-powered solutions.
Conduct code reviews to maintain quality, performance, and security standards.
Rapidly prototype and test new features based on evolving business needs.
Stay updated on emerging AI tools, model updates, and vibe coding best practices.

Qualification
2–5 years of software development experience, including 6–12 months in AI-assisted coding workflows.
Strong foundation in at least one backend language (Python, Node.js, Java) and one frontend framework (React, Vue.js, Angular).
Hands-on experience with AI coding tools (GitHub Copilot, ChatGPT, Claude, Replit, etc.).
Ability to create effective prompts for code generation, debugging, and optimization.
Experience in building AI-powered tools or solutions for cross-team use cases.
Exposure to the full Software Development Life Cycle (SDLC) — from requirements gathering to deployment and maintenance.
Knowledge of RESTful APIs, cloud platforms (AWS, Azure, GCP), and databases (SQL/NoSQL).
Strong problem-solving skills with an iterative and experimental mindset.
Understanding of code security, version control (Git), and best practices for AI-generated code.

Soft Skills
Ability to debug, optimize, and adapt AI-generated outputs effectively.
Staying updated on evolving AI tools, coding trends, and best practices.
Working with Product, Marketing, Operations, Data, and CX teams to design solutions.
Clearly translating technical AI solutions into business-friendly language.
Leveraging AI coding tools to build novel features and automation frameworks.
Ensuring AI-generated code meets performance, maintainability, and security standards.
Comfortable with trial-and-error approaches, refining outputs through experimentation.
Proactively identifying areas where AI can improve workflows and suggesting solutions.

Technical Skills:
Proficiency with tools like GitHub Copilot, ChatGPT, Claude, Replit, Cursor, Bolt.
Designing effective prompts for code generation, debugging, and refactoring.
Strong foundation in Python, Node.js, or Java.
Experience in React, Vue.js, or Angular.
Building and deploying AI-powered tools and automation frameworks.
Merging AI-generated code with existing systems while ensuring scalability and maintainability.
Exposure to requirements gathering, development, deployment, and maintenance.
Knowledge of AWS/Azure/GCP, RESTful APIs, and microservices.
SQL and NoSQL proficiency.
Familiarity with secure coding practices, Git, and peer/code reviews.
Ability to rapidly test and iterate on AI-driven features.

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