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GenAI Prototyping Engineer: AI Coding & Prototypes

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: COVET IT INC
Seasonal/Temporary position
Listed on 2026-08-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Full Stack Developer, Backend Developer
Salary/Wage Range or Industry Benchmark: 85000 - 115000 USD Yearly USD 85000.00 115000.00 YEAR
Job Description & How to Apply Below

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, Git Hub 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 Git Hu
  • b.Familiarity with AI-assisted coding tools such as Cursor, Claude Code, Git Hub 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 Lang Chain, Lang Graph, CrewAI, Auto Gen, 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, Git Hub 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
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