We are seeking an AI Engineer to design develop and evolve the VZ Application AI Modernization Factory an AI-powered platform that automates and accelerates the modernization of large-scale enterprise legacy applications.
This VS Code extension-based solution leverages Large Language Models (LLMs) knowledge graphs adaptive questioning and automated code generation to transform legacy Java/Oracle systems into modern architectures such as NSA.
The role involves driving the end-to-end technical vision of the AI Factory-from intelligent source code analysis to automated artifact generation-while collaborating closely with modernization teams platform engineers and AI specialists to continuously improve throughput accuracy and coverage.
Key Responsibilities
1. GenAI Engineering
Implement a prompt engineering system using structured YAML and Markdown templates including:
Dynamic placeholder substitution
Priority filtering
Category-based routing
Multi-instance LightRAG targeting
Build and enhance the Adaptive Questioning Framework featuring:
LLM-driven recursive questioning
Configurable probing depth and levels
SQL indirection detection
Migration-critical validation guarantees
Implement and maintain MCP server integrations including:
Vector store operations (upsert search)
Neo4j graph database queries
File metadata retrieval
Role Summary We are seeking an AI Engineer to design develop and evolve the VZ Application AI Modernization Factory an AI-powered platform that automates and accelerates the modernization of large-scale enterprise legacy applications. This VS Code extension-based solution leverages Large Lang...
Role Summary
We are seeking an AI Engineer to design develop and evolve the VZ Application AI Modernization Factory an AI-powered platform that automates and accelerates the modernization of large-scale enterprise legacy applications.
This VS Code extension-based solution leverages Large Language Models (LLMs) knowledge graphs adaptive questioning and automated code generation to transform legacy Java/Oracle systems into modern architectures such as NSA.
The role involves driving the end-to-end technical vision of the AI Factory-from intelligent source code analysis to automated artifact generation-while collaborating closely with modernization teams platform engineers and AI specialists to continuously improve throughput accuracy and coverage.
Key Responsibilities
1. GenAI Engineering
Implement a prompt engineering system using structured YAML and Markdown templates including:
Dynamic placeholder substitution
Priority filtering
Category-based routing
Multi-instance LightRAG targeting
Build and enhance the Adaptive Questioning Framework featuring:
LLM-driven recursive questioning
Configurable probing depth and levels
SQL indirection detection
Migration-critical validation guarantees
Implement and maintain MCP server integrations including: