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EtonHouse Singapore

AI Engineer (Generative AI, Data & Optimisation)

Data & ML

Employment

Not stated

Level

Not stated

Team

EtonHouse HQ
Not doable from Austria

Country assessment

Not doable from Austria because the employer's own board marks it as not remote.

Our assessment is guidance. Confirm arrangements with the employer.

Skills mentioned in this posting

PythonC#/.NETDockerTerraformAzureLLMs

Job description

Job Description

Generative AI (Azure OpenAI / RAG) 

  • Help build and test chatbot / GenAI features using Available Platform 

  • Use RAG (search + AI answers) to make responses more accurate 

  • Improve prompts and test output quality 

Data + dashboards 

  • Work with project data using Python / other programming languages and SQL 

  • Build simple ETL pipelines into SQL Server / Azure Blob / File Storage 

  • Create and maintain Power BI dashboards (KPIs, trends, reporting) 

Deployment and integration (with guidance) 

  • Help deploy AI features using Docker / related tool 

  • Support infrastructure setup using Terraform / related tool (if needed) 

  • Help integrate AI features into existing systems using APIs 

  • Use monitoring tools (e.g., Application Insights) to check performance and errors 

Optimisation (basic exposure) 

  • Support simple scheduling / rostering solutions using OR-Tools 

  • Help test results with real-world requirem

Compliance and privacy (important) 

  • Follow PDPC and internal data governance rules 

  • Help with basic compliance tasks like access control (RBAC) and documentation (DPIA/ROPA) with guidance 

Teamwork 

  • Work with teachers/operations teams to gather requirements and test solutions 

  • Track work in Notion, collaborate using GitHub 

Tools you may use 

  • Python,  Dotnet, SQL 

  • Azure OpenAI / OpenAI API 

  • LangChain, Hugging Face 

  • Power BI 

  • Docker, Terraform 

  • Application Insights 

  • Notion, GitHub 

  • PDPC guidelines 

Qualifications:

  • Relevant Qualification in IT, Computer Science, Data/Analytics, Engineering, or equivalent practical experience. 

  • Basic Programming Language 

  • Basic SQL  

  • Interest in AI / GenAI and willingness to learn fast 

  • Able to explain your work clearly and document what you did 

  • Responsible attitude toward data privacy 

  • Willingness to work as a team