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.