AI Vibe Coding Engineer

Computer Task Group, Inc•UNAVAILABLE, UNAVAILABLE

14h•Remote

About The Position

CTG is seeking to fill an an entry-level AI Vibe Coding Engineer to support rapid development of AI-powered applications, prototypes, proof-of-concepts, and internal tools. The ideal candidate is a hands-on builder with experience using Generative AI, LLMs, AI coding assistants, APIs, and modern software development tools. This is an excellent opportunity for a recent graduate or early-career developer who enjoys experimenting with emerging AI technologies and using tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, Windsurf, and Replit AI to accelerate development.

Requirements

0–2 years of software development experience; recent graduates with strong projects, internships, or academic experience are encouraged to apply.
Programming experience with Python, JavaScript/TypeScript, Node.js, or Golang.
Basic experience with React, Next.js, REST APIs, Git, and GitHub.
Experience or familiarity with Cursor, Claude Code, GitHub Copilot, ChatGPT, Windsurf, Replit AI, or similar AI coding tools.
Understanding of Generative AI, LLMs, prompt engineering, AI agents, and RAG.
Basic understanding of MCP (Model Context Protocol).
Understanding of APIs, JSON, web services, and basic application architecture.
Strong analytical and problem-solving skills.
Ability to learn new technologies quickly and work in a rapidly evolving environment.
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Nice To Haves

Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar AI frameworks.
Familiarity with vector databases, embeddings, and semantic search.
Exposure to Docker, Kubernetes, AWS, Azure, or GCP.
Experience integrating AI applications with databases, enterprise systems, or third-party APIs.
AI/GenAI personal projects, GitHub contributions, hackathons, internships, or academic projects.
Strong product mindset and ability to rapidly create functional prototypes.

Responsibilities

Build AI-powered applications, prototypes, proof-of-concepts, and internal tools.
Use AI-assisted coding tools to accelerate software development and troubleshooting.
Develop applications using Python, JavaScript/TypeScript, Node.js, or Golang.
Work with Generative AI, LLMs, AI Agents, RAG, APIs, and MCP.
Build and integrate REST APIs, web services, and third-party applications.
Collaborate with engineering, product, and UX teams to rapidly turn ideas into working solutions.
Test, debug, document, and improve AI-generated and application code.
Research and experiment with emerging AI frameworks and developer productivity tools.