AI Training Bot Engineer — Customer Insights & Systems

Ministry Of Social And Family Development

Singapore

On-site

SGD 70,000 - 110,000

Full time

14 days+
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Job summary

Ministry Of Social And Family Development is seeking a technically skilled professional to work on AI-driven training solutions within the Customer Insights and Systems team. The role focuses on turning frontline training needs into concrete technical specifications and architecture for an AI training bot.

You will evaluate ML frameworks, research conversational AI approaches, and collaborate with stakeholders to rapidly prototype features while gaining hands-on experience with enterprise

Qualifications

  • Background in Computer Science, Software Engineering, Information Systems, or a related technical field.

Responsibilities

  • Analyse requirements for frontline officer training scenarios and translate into technical specs.
  • Research AI-driven training approaches including ML frameworks and conversational AI.
  • Develop evaluation frameworks to measure training effectiveness and user engagement.
  • Design system architecture and identify technical requirements for AI training bot.
  • Collaborate with stakeholders to prototype and iterate training bot functionality.
  • Gain hands-on exposure to conversational AI models and enterprise datasets.

Skills

Python programming
Frontend frameworks
ML concepts
NLP
Conversational AI
Agentic AI frameworks
Version control
Testing
Documentation
Analytical skills

Education

Background in Computer Science/Software Engineering/Information Systems or related field

Tools

LangChain
LangGraph
Microsoft AutoGen
CrewAI
Dialogflow

Job description

Ministry Of Social And Family Development is seeking a technically skilled professional to work on AI-driven training solutions within the Customer Insights and Systems team. The role focuses on turning frontline training needs into concrete technical specifications and architecture for an AI training bot.

You will evaluate ML frameworks, research conversational AI approaches, and collaborate with stakeholders to rapidly prototype features while gaining hands-on experience with enterprise

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