· 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.
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