Gen AI Engineer - Banking

We are looking for Gen AI Engineer with 8+ years in software or data engineering, including 2+ on LLM applications and 3+ in banking or regulated financial services. Must-have skills Banking and controls • Building software in regulated environments: authentication, entitlements, audit logging and data privacy. • Applying row-level access and human review steps to AI outputs. Generative AI engineering • LLM applications beyond proof of concept: RAG, embeddings, vector stores and structured outputs. • Text-to-SQL over a semantic layer; conversational retrieval of reports and KPIs. • Agent frameworks such as LangGraph or LlamaIndex. • Evaluation: accuracy, SQL correctness, hallucination testing and guardrails, automated in CI/CD. • Code parsing and lineage extraction for SQL, PL/SQL, SAS and Python (e.g. sqlglot, ANTLR). Software and data engineering • Strong Python and SQL. • Working with enterprise data at warehouse scale. • Git, CI/CD and MLflow. Good-to-have skills • Enterprise LLM platforms: Azure OpenAI, AWS Bedrock or Vertex AI. • Databricks Mosaic AI or Genie. • Visualization libraries (Plotly, ECharts, Vega) and Qlik or Power BI APIs. Certifications (preferred): Databricks Generative AI Engineer Associate; Azure AI Engineer; AWS ML Specialty.