AI Engineer

Riskdata Consulting; Singapore; On-site; SGD 100,000 - 180,000; Full time

Job summary

Riskdata Consulting in Singapore is seeking an experienced engineer to lead the development of advanced analytics, machine learning, and AI-driven solutions to address business challenges and generate actionable insights.

You will design, develop, and implement AI products, including applications leveraging Agentic AI frameworks for practical business use cases, and you will build production-ready agents and applications powering AI-driven workflows.

Qualifications

• Hands-on experience building AI-powered web applications.
• Experience implementing Agentic AI frameworks in practical use cases.
• Familiarity with AI tools and open-source libraries relevant to the field.
• Knowledge of database design and cloud services.
• Agile methods and cloud computing platforms familiarity.
• Strong communication and stakeholder management skills.
• Experience with enterprise AI platforms such as Dataiku, Databricks, Snowflake, or GovTech tools.

Responsibilities

• Lead development of advanced analytics, ML, and AI-driven solutions.
• Design, develop and implement AI products and applications.
• Build and maintain agents and AI-powered apps from PoC to production.
• Develop software across frontend and backend with cloud data architecture.
• Improve workflows through automation, reusable components and tooling.
• Conduct functional and performance testing using diverse techniques.
• Collaborate with technology teams on cloud-based agent architecture.
• Analyze business requirements and recommend tech solutions using Agile.
• Support end-to-end product lifecycle from roadmap to deployment.
• Define non-functional requirements and assess databases per regulations.
• Collaborate with stakeholders to deliver products and identify AI opportunities.

Skills

Agentic AI

Web development

Data science

AI frameworks

Agile

Cloud platforms

Containerization

CI/CD pipelines

Communication

Problem solving

Tools

n8n

Northflank

Power Automate Copilot

Dataiku

Databricks

Snowflake

GovTech Desk

OPUS

Airbase

Airlift

Job description

Description

• Lead the development of advanced analytics, machine learning, and AI-driven solutions to address business challenges and generate actionable insights.
• Design, develop, and implement AI products, including applications leveraging Agentic AI frameworks for practical business use cases.
• Build and maintain agents and applications powered by AI, taking solutions from proof-of-concept to production.
• Design, develop, and implement software solutions across frontend and backend systems, incorporating cloud application and data architecture principles.
• Improve development and workflows through automation, reusable components, tooling, and standardised technical engineering practices.
• Conduct comprehensive functional and performance testing using a range of techniques, agents and tools to ensure high-quality solution delivery.
• Collaborate with technology teams on cloud-based agent and application architecture, design, and implementation.
• Analyse business requirements and recommend technology solutions using Agile delivery methodologies.
• Support the end-to-end product lifecycle, including roadmap planning, development, testing, deployment, and continuous enhancement.
• Define non-functional requirements and assess database solutions in compliance with relevant regulations.
• Work closely with cross-functional stakeholders to ensure successful delivery of products and solutions and identify opportunities to apply AI and automation in the business.

Requirements

• Relevant experience in Agentic AI engineering, web application development, data science, or related disciplines.
• Knowledge of AI techniques, including hands-on experience developing and implementing skills, harnesses, MCPs, Agentic AI frameworks in practical applications.
• Familiarity with AI tools, frameworks, and open-source libraries relevant to the field.
• Knowledge of database design, implementation, and management.
• Familiarity with Agile delivery methodologies and cloud computing platforms and services.
• Strong analytical and problem-solving skills, with the ability to translate complex business problems into effective technology solutions.
• Excellent communication and stakeholder management skills, with the ability to collaborate effectively across multidisciplinary teams and explain technical concepts to diverse audiences.
• Experience with commercial AI, workflow, data and data science platforms such as n8n, Northflank, Copilot in Power Automate, Dataiku, Databricks, Snowflake, etc.; or Whole-of-Government AI tools, such as GovTech Desk, OPUS, Airbase/Airlift, etc would be advantageous.
• Familiarity with containerization and orchestration, as well as automated build, test and deployment pipelines.
• Demonstrated commitment to continuous learning and keeping current with the latest developments in AI, data science, and software engineering.