AI Engineer

Riskdata Consulting; Singapore; Sur place; SGD 180 000 - 240 000; Plein temps

Résumé du poste

Riskdata Consulting invites a senior AI engineer to lead design and development of AI-driven solutions using Agentic AI frameworks and cloud technologies to deliver production-ready products. The role focuses on building advanced analytics, ML, and AI applications, from PoC to production, while collaborating across teams to align solutions with business goals and regulatory requirements.

You will drive cloud architecture, automate workflows, and ensure quality through comprehensive testing and

Qualifications

• Experience in Agentic AI engineering, web app development, data science, or related fields.
• Practical knowledge of AI techniques and hands-on experience with Agentic AI skills, harnesses, MCPs, and frameworks.
• Familiarity with AI tools, frameworks, and relevant open-source libraries.
• Knowledge of database design, implementation, and management.
• Experience with Agile delivery and cloud computing platforms.
• Strong analytical and problem-solving skills to translate business problems into tech solutions.
• Effective communication and stakeholder management across multidisciplinary teams.

Responsabilités

• Lead development of analytics, ML, and AI solutions for business insights.
• Design, develop, and implement AI products and Agentic AI applications.
• Build and maintain AI-powered agents from PoC to production.
• Design and implement frontend and backend cloud-based solutions.
• Automate development workflows with reusable components and tooling.
• Conduct functional and performance testing to ensure quality.
• Collaborate with tech teams to architect cloud-based agents.
• Analyze business requirements and recommend AI solutions using Agile.
• Support full product lifecycle including roadmap, dev, test, deployment.
• Define non-functional requirements and evaluate database solutions for compliance.
• Work with stakeholders to deliver products and identify AI opportunities.

Connaissances

Agentic AI

Web development

Data science

Agile

Cloud platforms

Outils

AI frameworks

Cloud services

Description du poste

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