AI Vibe Coding Engineer / GenAI Prototyping Developer

COVET IT INC; Los Angeles (CA); On-site; USD 85,000 - 115,000; Full time

Job description

Role: AI Vibe Coding Engineer / GenAI Prototyping Developer

Type: Long Term Contract

Job Description

• :We are 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
• .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

• :
  0-2 years of experience in software development, including fresh graduates with strong academic, project, internship, or personal coding experienc
• g.Basic hands-on experience with React, Next.js, REST APIs, Git, and GitHu
• b.Familiarity with AI-assisted coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, Windsurf, or Replit A
• I.Fundamental understanding of Generative AI, LLMs, Prompt Engineering, AI Agents, and RA
• G.Basic understanding of MCP (Model Context Protocol) and how AI agents can interact with tools, APIs, and external system
• s.Exposure to building AI/LLM-based applications, chatbots, workflows, or proof-of-concepts through academic, internship, personal, or open-source project
• s.Understanding of APIs, JSON, web services, and basic application architectur
• e.Familiarity with Git-based development and software engineering practice
• s.Strong analytical and problem-solving skills with the ability to learn new technologies quickl
• y.Strong curiosity and enthusiasm for experimenting with emerging AI tools, frameworks, and developer productivity technologie

s.
Preferred / Good-to-Have Skil

• ls:
  Exposure to LangChain, LangGraph, CrewAI, AutoGen, or similar AI framewo
• rks.Familiarity with vector databases, embeddings, and semantic sea
• rch.Basic exposure to Docker, Kubernetes, AWS, Azure, or
• GCP.Experience integrating AI applications with enterprise systems, databases, or third-party A
• PIs.Personal projects, GitHub contributions, hackathon experience, or academic projects involving GenAI or AI age
• nts.Strong product mindset with the ability to turn an idea into a working demo or prototype quic
• kly.Comfortable working in an environment characterized by rapid experimentation, ambiguity, and continuous learn