AI Application Engineer (Decision Intelligence Track)

Sealincloud Technology | 1StepHub; Hong Kong; On-site; HKD 420,000 - 540,000; Full time

Job summary

Sealincloud Technology | 1StepHub is seeking an AI Application Engineer (Decision Intelligence Track) to join our R&D team. You will design, develop, and validate AI-enabled applications that translate complex information into structured recommendations and actionable solutions.

You will work closely with engineering and product teams to build intelligent applications for cross-border service scenarios through AI integration and data-driven optimization, contributing to user-centered product

Qualifications

• Proven understanding of decision analysis and data-driven modeling.
• Experience with AI applications and intelligent recommendation systems is a plus.
• Basic programming knowledge in Python or JavaScript.
• Exposure to Web/App development or digital product development is advantageous.

Responsibilities

• Design, develop, and validate AI-enabled applications for decision intelligence.
• Transform complex information and user requirements into structured recommendations.
• Collaborate with engineering and product teams to integrate AI functions into Web/App platforms.
• Conduct testing to improve application performance and user experience.
• Participate in prototype development and usability testing for iterative improvement.
• Document technical findings and contribute to system enhancement.

Skills

Decision analytics

Data analysis

AI applications

Python

JavaScript

Education

Bachelor's degree in Decision Analytics

Bachelor's degree in Data Analytics

Bachelor's degree in Computer Science

Job description

Sealincloud is developing an AI Decision Intelligence Platform that applies artificial intelligence technologies to support complex decision-making and intelligent service delivery.

We are seeking an AI Application Engineer (Decision Intelligence Track) to join our R&D team. The role focuses on designing, developing, and validating AI-enabled applications that transform complex information and user requirements into structured recommendations and actionable solutions.

The successful candidate will work closely with engineering and product teams to build intelligent applications for cross-border service scenarios through AI integration, data-driven optimization, and user-centered product innovation.

Key Responsibilities

• AI Application Development
• Participate in the design and development of AI-enabled decision support applications.
• Develop digital solutions that transform complex information into structured insights and recommendations.
• Support the integration of AI functions into Web/App platforms.
• Decision Intelligence and System Optimization
• Analyze user requirements, decision factors, and service scenarios to improve intelligent workflows.
• Support the development of recommendation, matching, and workflow optimization functions.
• Conduct testing and evaluation to improve application performance and user experience.
• Product Innovation and Technical Validation
• Participate in prototype development, usability testing, and iterative product improvement.
• Conduct technical experiments and analyze results to validate AI application approaches.
• Document technical findings and contribute to continuous system enhancement.

Qualifications & Requirements

Education Background

• Bachelor’s degree or above in:
  • Decision Analytics;
  • Data Analytics;
  • Computer Science;
  • Information Systems;
  • Engineering or related disciplines.
• Candidates with experience in digital innovation, multimedia technology, human-computer interaction, or related fields are preferred.

Technical Skills

• Understanding of decision analysis, data-driven modeling, or optimization methods.
• Familiarity with AI applications, data analysis, or intelligent recommendation systems.
• Basic programming knowledge in Python, JavaScript, or related technologies.
• Experience in Web/App development, UX design, or digital product development is an advantage.

Preferred Attributes

• Strong analytical thinking and problem-solving skills.
• Ability to translate complex problems into structured solutions.
• Interest in AI applications, decision intelligence, and emerging technologies.
• Ability to work in a multidisciplinary R&D environment.