jobs in RISKDATA CONSULTING PTE. LTD.

全职 AI Engineer 工作, 薪水 up to SGD 9,000, RISKDATA CONSULTING PTE. LTD. East Region (Singapore) 公司招聘中 - Ricebowl

AI Engineer

RISKDATA CONSULTING PTE. LTD.

East Region (Singapore)

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工作地点

  • 22 CHANGI BUSINESS PARK CENTRAL 2 East Region (Singapore) Singapore

职位描述

岗位职责

Job Summary

Lead the design and development of AI-driven solutions and applications, leveraging Agentic AI frameworks and cloud technologies to solve business challenges and deliver impactful, production-ready products.

Responsibilities

  • Lead the development of advanced analytics, machine learning, and AI-driven solutions to generate actionable business insights
  • Design, develop, and implement AI products, including applications using Agentic AI frameworks for practical business use cases
  • Build and maintain AI-powered agents and applications, advancing solutions from proof-of-concept to production deployment
  • Design and implement software solutions across frontend and backend systems, applying cloud application and data architecture principles
  • Automate development workflows by creating reusable components, tooling, and standardizing engineering practices
  • Conduct comprehensive functional and performance testing using diverse techniques and tools to ensure high-quality delivery
  • Collaborate with technology teams to architect, design, and implement cloud-based agents and applications
  • Analyze business requirements and recommend technology solutions using Agile delivery methodologies
  • Support the full product lifecycle including roadmap planning, development, testing, deployment, and continuous improvement
  • Define non-functional requirements and evaluate database solutions ensuring regulatory compliance
  • Work closely with cross-functional stakeholders to deliver successful products and identify opportunities for AI and automation integration

Required competencies and certifications

  • Experience in Agentic AI engineering, web application development, data science, or related fields
  • Practical knowledge of AI techniques and hands-on experience developing and implementing skills, harnesses, MCPs, and Agentic AI frameworks
  • Familiarity with AI tools, frameworks, and relevant open-source libraries
  • Knowledge of database design, implementation, and management
  • Experience with Agile delivery methodologies and cloud computing platforms and services
  • Strong analytical and problem-solving skills to translate complex business problems into effective technology solutions
  • Effective communication and stakeholder management skills to collaborate across multidisciplinary teams and explain technical concepts clearly

Preferred competencies and qualifications

  • Experience with commercial AI, workflow, data, and data science platforms such as n8n, Northflank, Copilot in Power Automate, Dataiku, Databricks, Snowflake, or Whole-of-Government AI tools like GovTech Desk, OPUS, Airbase/Airlift
  • Familiarity with containerization, orchestration, and automated build, test, and deployment pipelines
  • Demonstrated commitment to continuous learning and staying current with AI, data science, and software engineering advancements

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