5+ Years of experience in similar role
Strong experience in AI-assisted database migration and modernization
Solid understanding of Oracle to PostgreSQL migration, including schema conversion, SQL compatibility, and PL/SQL remediation
Proficiency in Python (FastAPI, Pydantic) for backend AI development
Hands-on experience with LangChain and/or LangGraph for workflow orchestration
Experience working with OpenAI APIs and/or open-source LLMs (Llama, Mistral)
Hands-on experience with vector databases (Pinecone, Milvus, Weaviate)
Experience building internal tools using Streamlit or Gradio
Experience with cloud AI platforms (AWS Bedrock, Azure AI, Google Vertex AI)
Experience with LLM monitoring tools (LangSmith, Arize Phoenix or similar)
Strong expertise in prompt engineering for SQL translation and code remediation
Experience in designing and implementing RAG-based solutions
Knowledge of AI safety, governance, guardrails, and auditability
Experience in enterprise application integration and AI orchestration
Understanding of knowledge modeling and semantic retrieval systems
Experience in LLM observability, evaluation, and monitoring (LLMOps)
Experience with API integration and backend orchestration frameworks
Preferred Domain Knowledge:
Strong understanding of Oracle database objects, SQL, and PL/SQL
Knowledge of PostgreSQL fundamentals and migration considerations
Experience in enterprise migration programs and modernization initiatives
Understanding of data validation, reconciliation, and quality control processes
Familiarity with AWS Kiro
Experience in AI-led enterprise modernization or migration programs
Strong understanding of validation, reconciliation, and migration quality control frameworks
Exposure to performance and cost optimization in AI-driven migration solutions
Familiarity with CI/CD pipelines for AI/ML deployments