Generative AI Engineer - Build AI Apps and Data Solutions

JOBSTER PRIVATE LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

4 days ago
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Job summary

JOBSTER PRIVATE LTD. is seeking an AI Engineer to develop Generative AI and data science models for multiple divisions.

You will partner with stakeholders to translate business needs into technical requirements and deliver AI solutions that drive measurable outcomes. You will build AI applications, data pipelines, APIs and frontend interfaces, apply security best practices, and explore emerging techniques such as LLMs, vector databases, and agentic architectures.

Qualifications

  • Bachelor’s degree in CS/CE/ML/DS or related field.
  • Experience with cloud platforms, preferably AWS.
  • Understanding of LLM concepts and agentic architectures.
  • Experience with web frameworks and RESTful APIs.
  • Familiarity with Docker/Kubernetes for production deployments.
  • Proficiency in TypeScript, C#, and modern programming languages.

Responsibilities

  • Collaborate with business users to identify priorities and use cases.
  • Develop AI/DS solutions using Generative AI and data science techniques.
  • Build AI applications and data science models, including agentic platforms.
  • Research emerging techniques (LLMs, RAG, vector databases).
  • Data wrangling, preprocessing, and feature engineering.
  • Develop backend APIs and services for model deployment and integration.
  • Create frontend interfaces for AI-powered apps and ensure security fixes.

Skills

AWS experience
LLM concepts
LangChain
Full-stack development
RESTful APIs
Docker
Kubernetes
TypeScript
Git
SQL
Data wrangling
Data analysis
Frontend development

Education

Bachelor’s Degree in Computer Science, Computer Engineering, ML/DS/AI or related

Tools

Tableau
Qlik
MS PowerBI
MicroStrategy

Job description

JOBSTER PRIVATE LTD. is seeking an AI Engineer to develop Generative AI and data science models for multiple divisions.

You will partner with stakeholders to translate business needs into technical requirements and deliver AI solutions that drive measurable outcomes. You will build AI applications, data pipelines, APIs and frontend interfaces, apply security best practices, and explore emerging techniques such as LLMs, vector databases, and agentic architectures.

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