Note: The job is a remote job and is open to candidates in USA. Cbase Inc is seeking a creative Vibe Coding Engineer / GenAI Prototyping Developer to build rapid prototypes and AI-powered applications using modern AI-assisted development tools. The role involves working with LLMs, AI agents, RAG, MCP servers, APIs, and full-stack frameworks while collaborating with product, UX, and engineering teams.
Responsibilities
- Quickly transform ideas into functional prototypes, AI-powered applications, internal tools, and proof-of-concepts
- 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
- Turn an idea into a working demo or prototype quickly
Skills
- · 0–2 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
- · 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
Benefits
- Remote work in the USA PST time zone
Company Overview