AI Developer
Role details
Job location
Tech stack
Job description
YAML/Markdown-based prompt loader with dynamic filtering, substitutions, and routing AI Chat Agent Visual Studio Code chat participant enabling guided modernization workflows Adaptive Questioning Engine Recursive LLM-driven analysis with depth control and migration enforcement Knowledge Graph Integration LightRAG + Neo4j pipeline for context-aware analysis Artifact Generation Pipeline Automated generation of: Low-Level Designs (LLD) Code instructions Test instructions MCP Server & Tools Integration with vector stores, graph databases, and file metadata services Late Chunking & Embedding Efficient semantic retrieval to optimize token usage Python Vector Services High-performance similarity and embedding computation, TypeScript Python SQL Runtime:
Node.js Python GenAI & AI Systems:
Prompt engineering Token optimization Multi-model orchestration Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) Platform Development:
Visual Studio Code Extension Development Visual Studio Code APIs & Chat Participant API Language Model API integration VSIX packaging Data Formats
Requirements
10+ years of software engineering experience.