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:
- 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:
- Vector store operations (upsert search)
- Neo4j graph database queries
- File metadata retrieval
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