Unison Group

Builds financial risk and compliance systems

Gen AI Engineer - Banking

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

At least 8 years of experience in software or data engineering, including at least 2 years on LLM applications and 3 years in banking or regulated financial services.
Experience building software in regulated environments, including authentication, entitlements, audit logging, and data privacy.
Ability to apply row-level access and human review steps to AI outputs.
Experience building LLM applications beyond proof of concept using retrieval-augmented generation, embeddings, vector stores, and structured outputs.
Experience with text-to-SQL over a semantic layer and conversational retrieval of reports and key performance indicators.
Experience with agent frameworks such as LangGraph or LlamaIndex.
Experience evaluating accuracy, SQL correctness, hallucinations, and guardrails, with automated evaluation in continuous integration and continuous delivery.
Experience parsing code and extracting lineage for SQL, PL/SQL, SAS, and Python using tools such as sqlglot or ANTLR.
Strong Python and SQL skills.
Experience working with enterprise data at warehouse scale.
Experience with Git, continuous integration and continuous delivery, and MLflow.

Desired Qualifications

Experience with enterprise LLM platforms such as Azure OpenAI, AWS Bedrock, or Vertex AI.
Experience with Databricks Mosaic AI or Genie.
Experience with visualization libraries such as Plotly, ECharts, or Vega, and Qlik or Power BI APIs.
Preferred certifications: Databricks Generative AI Engineer Associate, Azure AI Engineer, or AWS ML Specialty.

Gen AI Engineer - Banking

Unison Group · Singapore, Singapore · Contract · Posted 2026-09-25

Workplace: on_site

Department: Manish

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.

Apply

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About the Company

Unison Group

Builds financial risk and compliance systems

Unison Group builds technology systems for financial institutions that need to manage risk, meet reporting rules and modernize their operations. Its consultants work across liquidity, market and credit risk, combining financial knowledge with software implementation and data analysis. The business also designs cloud infrastructure and develops custom applications, connecting these systems with the information and processes clients already use. It earns money through consulting, technology implementation and engineering services for enterprises, with work ranging from system design to deployment. Founded as Unison Consulting in 2012, the group is headquartered in Singapore.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 2012

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