
Gen AI Engineer - Banking
Unison Group · Singapore · Onsite
Weak hiring record · median 68 days open
All reasons
- 53% of this employer's openings are over 60 days old
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.
Skills
- LLM
- Generative AI
- Retrieval-Augmented Generation
- Embeddings
- LangGraph
- LlamaIndex
- SQL
- PL/SQL
- SAS
- Python
- Git
- MLflow
- Azure OpenAI
- Bedrock
- Vertex AI
- Databricks
- Plotly
- ECharts
- Power BI
- Azure AI
- AWS
- Machine Learning
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