Client looking for a highly motivated and creative Vibe-Coding Engineer at the entry level, with 0–2 years of experience, who is passionate about Generative AI, AI-assisted software development, rapid prototyping, and modern developer tools. The ideal candidate will be a hands-on builder who can use AI coding assistants such as Cursor, Claude Code, GitHub Copilot, ChatGPT, and similar tools to quickly transform ideas into functional prototypes, AI-powered applications, internal tools, and proof-of-concepts. This role will provide opportunities to work with LLMs, AI agents, RAG, MCP servers, APIs, modern full-stack frameworks, and AI orchestration patterns while collaborating with product, UX, and engineering teams. We are looking for individuals who are curious, comfortable experimenting with emerging technologies, strong in problem-solving, and capable of rapidly learning and applying new AI-native development approaches while maintaining sound engineering practices.
Required Skills:
- 0–2 years of experience in software development, including Entry Level Candidates with strong academic, project, internship, or personal coding 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.
- Familiarity with AI-assisted coding 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 frameworks.
- Familiarity with vector databases, embeddings, and semantic search.
- Basic exposure to Docker, Kubernetes, AWS, Azure, or Google Cloud Platform.
- Experience integrating AI applications with enterprise systems, databases, or third-party APIs.
- Personal projects, GitHub contributions, hackathon experience, or academic projects involving GenAI or AI agents.
- Strong product mindset with the ability to turn an idea into a working demo or prototype quickly.
- Comfortable working in an environment characterized by rapid experimentation, ambiguity, and continuous learning.
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