AI Vibe Coding Engineer

·        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.

·        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.

Required Skills:

·        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.