AI Engineer

REGTECH INSIGHT PTE. LTD.; Singapore; On-site; SGD 120,000 - 200,000; Full time

Job summary

REGTECH INSIGHT PTE. LTD. is seeking an experienced AI engineer to lead analytics, ML, and AI-driven product development. You will design and deploy AI products and frameworks, build production-grade agent applications, and collaborate with cross-functional teams on cloud-based architecture.

You will translate business needs into scalable technology solutions, improve workflows, and apply automation and reusable components to deliver high-quality software across frontend and backend systems.

Qualifications

• Experience in Agentic AI engineering or related fields.
• Hands-on development of web applications and data science workflows.
• Familiarity with AI techniques and practical deployments.
• Knowledge of cloud computing platforms and services.
• Strong communication and stakeholder management.
• Ability to translate business needs into technology solutions.

Responsibilities

• Lead the development of analytics, ML, and AI-driven solutions.
• Design, develop, and implement AI products and frameworks.
• Build and maintain agents and applications from PoC to production.
• Develop software across frontend and backend with cloud architecture.
• Improve workflows with automation and reusable components.
• Conduct functional and performance testing.
• Collaborate on cloud-based agent architecture and implementation.
• Analyze requirements and recommend AI-enabled solutions.
• Support end-to-end product lifecycle from roadmap to deployment.
• Define non-functional requirements and assess databases for compliance.
• Work with stakeholders to deliver products and identify AI opportunities.

Skills

Agentic AI engineering

Web application development

Data science

Agile delivery

Cloud platforms & services

Tools

Agentic AI frameworks

n8n

Databricks

Snowflake

Dataiku

Copilot in Power Automate

Kubernetes

GovTech tools

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.