Senior LLM/RAG Engineer (Legacy Modernization)

Responsibilities Code Transformation Analysis: Utilize AST techniques to parse legacy RPG code and transform it into structured formats suitable for automated migration RAG Implementation: Design and maintain RAG pipelines using AWS Bedrock and Vector Databases to provide LLMs with high-fidelity context from legacy documentation and code analysis Data Preprocessing: Clean, structure, and enrich metadata from legacy systems, potentially involving the creation of knowledge graphs or embeddings to improve LLM accuracy Iterative Validation: Perform rigorous validation and correction of AI-generated code assets to ensure they meet modern Java standards and functional parity with the legacy system Legacy Integration: Collaborate with specialized code analysis tools (such as PKS eXplain) to extract business logic and code flows from IBM i environments Collaboration Documentation: Work closely with cross-functional teams in India and Germany, documenting complex business logic and ensuring tight feedback loops during the POC Quality Assurance: Adhere to strict architectural specifications and collaborate on testing strategies to validate the migrated solution Requirements Total Work Experience: Minimum of 48 years of experience in software engineering, with a significant focus on AI/ML or Backend development AI LLM Expertise: Proven experience working with advanced LLMs (eg, Claude 3 5/3 7/4) and building RAG pipelines Technical Proficiency: Languages: Strong proficiency in Python Cloud: Hands-on experience with AWS Bedrock Databases: Experience with Vector Databases such as Milvus or Pinecone Code Transformation Skills: Deep understanding of Abstract Syntax Trees (AST) and experience in parsing or transforming code programmatically Modernization Knowledge: Familiarity with code migration processes, microservices architecture, and cloud-native design patterns Tools Version Control: Expert-level knowledge of Git for managing generated code and collaborative development Soft Skills: A proactive nature with strong communication skills, essential for navigating the ambiguity of a POC environment and working with distributed global teams