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AI Vibe Coding Engineer

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Remote

AI Vibe Coding Engineer

K-logix Partnering Solutions

AI Vibe Coding Engineer

Skills

Google Cloud PlatformNextDockerReactNodeTypescriptPythonGolangAIAWSGitHubKubernetesJavascriptAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Remote

Published on:

16 September 2026

What they need


Job Title: AI Vibe Coding Engineer / GenAI Prototyping Developer
Work Location: India 100% Remote
Work Timings: 3:00 pm to 12:00 am IST (Need to support US Eastern Hours)

Job Description:
We are looking for highly motivated and creative Vibe Coding Engineers at the entry level, with 03 years of experience, who are 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. The 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 to 3 years of experience in software development, including fresh graduates 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, CrewAI, AutoGen, or similar AI frameworks.
  • Familiarity with vector databases, embeddings, and semantic search.
  • Basic exposure to Docker, Kubernetes, AWS, Azure, or GCP.
  • 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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