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AI Vibe Coding Engineer - Prototyping

K-Logix Partnering Solutions
0 - 3 Years
Remote

Posted on: 04/09/2026

Job Description

Job Title: AI Vibe Coding Engineer / GenAI Prototyping Developer

Work Location: 100% Remote

Work Timings: 3:00 pm to 12:00 am IST (Need to support US Eastern Hours)

About the Role :

We are looking for highly motivated and creative Vibe Coding Engineers at the entry level (0 - 3 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.

What you will do :

- Work with LLMs, AI agents, RAG, MCP servers, APIs, modern full-stack frameworks, and AI orchestration patterns.

- Collaborate with product, UX, and engineering teams to turn ideas into working demos.

- Experiment with emerging technologies and rapidly learn new AI-native development approaches.

Required Skills :

- 0 - 3 years of experience in software development.

- 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 AI agent tool interaction.

- Exposure to building AI/LLM-based applications, chatbots, or workflows.

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

Preferred 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.

- Strong product mindset with the ability to turn an idea into a working demo quickly.

The job is for:

Differently-abled candidates preferred
May work from home
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