AI Vibe Coding Engineer/ GenAI Prototyping Developer

· In this role, you will use AI coding assistants such as Cursor, Claude Code, GitHub Copilot, ChatGPT, Windsurf, and similar tools to rapidly transform ideas into functional prototypes, AI-powered applications, internal tools, and proof-of-concepts. You will work with LLMs, AI agents, RAG, MCP servers, APIs, and modern full-stack frameworks, collaborating closely with product, UX, and engineering teams.

· The role is ideal for someone who is curious, comfortable with experimentation and ambiguity, and able to quickly learn and apply emerging AI-native development approaches while maintaining sound software engineering practices.

· We are looking for highly motivated and creative AI Vibe Coding Engineer/ GenAI Prototyping Developer with 2-3 years of software development experience to join our innovation-focused engineering team. The ideal candidate is a hands-on builder who is passionate about Generative AI, AI-assisted software development, rapid prototyping, and modern developer tools., · 2-3 years of software development experience, including candidates with strong academic, internship, personal, or open-source project experience.

· Strong programming fundamentals in Python, JavaScript/TypeScript, Node.js, or Golang.

· Basic hands-on experience with React, Next.js, REST APIs, Git, and GitHub.

· Hands-on familiarity with AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, Windsurf, or Replit AI.

· Fundamental understanding of Generative AI, LLMs, Prompt Engineering, AI Agents, and RAG.

· Basic understanding of MCP (Model Context Protocol) and how AI agents can interact with tools, APIs, and external systems.

· Exposure to building AI/LLM-based applications, chatbots, workflows, or proof-of-concepts through academic, internship, personal, or open-source projects.

· Understanding of APIs, JSON, web services, and basic application architecture.

· Familiarity with Git-based development and software engineering practices.

· Strong analytical and problem-solving skills with the ability to learn new technologies quickly.

· Strong curiosity and enthusiasm for experimenting with emerging AI tools, frameworks, and developer productivity technologies.

Preferred / Good-to-Have Skills:

· Exposure to LangChain, LangGraph, Crew AI, AutoGen, or similar AI/agent frameworks.

· Familiarity with vector databases, embeddings, semantic search, and RAG implementations.

· Basic exposure to Docker, Kubernetes, AWS, Azure, or Google Cloud Platform.

· Experience integrating AI applications with enterprise systems, databases, or third-party APIs.

· Experience with MCP servers, tool calling, function calling, or agentic workflows.

· Personal projects, GitHub contributions, hackathons, or academic projects involving GenAI, LLMs, or AI agents.

· Ability to use AI coding tools to rapidly convert ideas into functional prototypes or demos.

· Strong product mindset and ability to understand a problem and translate it into a working technical solution.

· Comfortable working in a fast-paced environment involving rapid experimentation, ambiguity, and continuous learning.

· Ability to balance rapid development with code quality, security, maintainability, and engineering best practices.