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Gen AI Engineer; Developer Productivity Tools

Job in Irving, Dallas County, Texas, 75014, USA
Listing for: Infovision
Full Time position
Listed on 2026-06-08
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Software Engineer, Data Scientist
Job Description & How to Apply Below
Position: Gen AI Engineer (Developer Productivity Tools)
Job Title:

Gen AI Engineer (Developer Productivity Tools) / AI-Powered IDE Extension Developer (Type Script/Node.js)

Location:

Irving, TX Duration: 12+ Months

Job Description:

We are looking for a software engineer with experience in Type Script, Node.js, and Generative AI to build AI-powered developer productivity tools and IDE extensions. The role involves developing VS Code extensions that integrate with Large Language Models (LLMs) to assist developers with code generation, code analysis, documentation, refactoring, and AI-assisted software development workflows.

Key Responsibilities:

Design and develop VS Code extensions using Type Script and Node.js. Integrate AI/LLM platforms such as OpenAI, Azure OpenAI, Claude, or Gemini. Build AI-assisted features for code generation, code explanation, refactoring, and documentation. Develop integrations with enterprise development tools and APIs. Create intuitive developer experiences through editor extensions, side panels, commands, and workflows. Work with engineering teams to identify opportunities for AI-driven productivity improvements.

Ensure scalability, security, and performance of AI-powered development tools.

Required Skills:

Strong experience in Type Script and Node.js. Experience building VS Code Extensions or IDE plugins.

Experience with Generative AI / LLM integrations. Familiarity with OpenAI, Azure OpenAI, Claude, Gemini, or similar AI platforms. Knowledge of REST APIs and modern software development practices.

Experience with Git and CI/CD processes. Preferred

Skills:

Experience with AI Agents, RAG, Embeddings, or MCP.

Experience with React for extension UI development. Familiarity with Language Server Protocol (LSP). Experience building developer productivity or engineering platform tools. Knowledge of software architecture and code analysis techniques.
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