Gen AI Engineer (Developer Productivity Tools) / AI-Powered IDE Extension Developer at Involgix | Torre
Gen AI Engineer (Developer Productivity Tools) / AI-Powered IDE Extension Developer
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Involgix

Gen AI Engineer (Developer Productivity Tools) / AI-Powered IDE Extension Developer

Involgix
Posted by
Albert Johnson
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Full-time

Legal agreement: Contractor

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Compensation
USD65 - 75/hour
Non-negotiable
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1231 Greenway Circle suite 400, Irving, TX, USA
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Posted 13 days ago

Requirements and responsibilities

Job Description: - We are looking for a software engineer with experience in TypeScript, 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 TypeScript 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 TypeScript 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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