Gen AI Engineer - Banking

Unison Group

Singapore

On-site

SGD 180,000 - 240,000

Full time

14 days+

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Job summary

Unison Group is seeking a Gen AI Engineer with 8+ years in software or data engineering, including 2+ years on LLM applications and 3+ in banking or regulated financial services. The candidate will design and implement AI systems in controlled environments with authentication, entitlements, audit logging and data privacy.

Responsibilities include building LLM apps beyond PoCs (RAG, embeddings, vector stores), text-to-SQL over a semantic layer, and conversational retrieval of reports.

Qualifications

  • 8+ years in software or data engineering with 2+ years on LLM applications.
  • 3+ years experience in banking or regulated financial services.
  • Strong Python and SQL proficiency.

Skills

Python
SQL
Git

Tools

sqlglot
ANTLR
LangGraph
LlamaIndex

Job description

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
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