Artificial Intelligence Engineer

Total eBiz Solutions; Singapore; On-site; SGD 88,000 - 110,000; Full time

Job summary

Total eBiz Solutions in Singapore seeks a seasoned AI/ML and software engineer to lead analytics, design AI products, and deploy AI-powered agents from proof-of-concept to production. You will collaborate across teams, apply Agile methods, and shape cloud-based architectures while driving automation and high-quality delivery.

Ideal candidates will have hands-on experience with Agentic AI frameworks, data platforms like Databricks/Snowflake, and modern tooling (n8n, Northflank, Copilot in Power

Qualifications

• Experience in Agentic AI engineering or related fields.
• Hands-on data science and web app development experience.
• Familiarity with AI tools, frameworks, and open-source libraries.

Responsibilities

• Lead development of analytics, ML, and AI-driven solutions.
• Design and implement AI products using Agentic AI frameworks.
• Build and maintain AI-powered agents and apps from PoC to production.
• Develop software across frontend and backend with cloud data architecture.
• Improve workflows with automation and reusable components.
• Perform functional and performance testing for high quality delivery.
• Collaborate on cloud-based architecture and implementation.
• Analyze requirements and propose tech solutions with Agile methods.
• Support end-to-end product lifecycle from roadmap to deployment.
• Define non-functional requirements and evaluate DB solutions.
• Work with stakeholders to deliver AI and automation opportunities.

Skills

Agentic AI

Web app development

Data science

Agile delivery

Cloud platforms

Containerization

Automation pipelines

Stakeholder management

Communication

Tools

n8n

Northflank

Copilot in Power Automate

Dataiku

Databricks

Snowflake

Docker

Kubernetes

Job 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.

What we are looking for

• 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;
• Familiarity with containerisation 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.