AI Engineer AI Engineering Lead
Our client is seeking an AI Engineer with the ability to take lead on AI Engineering activities, with a focus on integrating AI/ML into mobile and web applications. You’ll work with GenAI platforms and modern development tooling to help build reliable data pipelines, automate workflows, and deliver solutions that matter. This role is important because it connects AI capabilities to real application experiences—ensuring the organisation can build, deploy, and scale intelligent features effectively.
Role Overview:
In this position, you’ll support and lead AI engineering efforts within the team—translating AI/ML needs into practical implementations across applications, data workflows, and service architectures.
Key Skills & Experience:
- AI/ML integration in mobile/web applications
- Data pipelines and workflow automation
- Competency exposure to GenAI platforms (Dify, Ragflow, n8n)
- Proficiency in Python, React, and Java Spring Boot
- Hands-on experience in mobile/web development (iOS/Android/Web or cross-platform frameworks)
- Strong understanding of microservices architecture and RESTful APIs
- Familiarity with DevOps tools and practices (Jenkins, Docker, Kubernetes, Terraform)
- Solid understanding of software engineering principles and agile methodologies
Key Responsibilities:
- Integrate AI/ML capabilities into mobile and web applications
- Build and maintain data pipelines and automate workflows
- Work with GenAI platforms such as Dify, Ragflow, and n8n
- Develop and support application components using Python, React, and Java Spring Boot
- Apply microservices architecture and RESTful API best practices in daily development
- Collaborate on DevOps practices and tooling to support delivery and operations
Requirements:
- Bachelor’s or master’s degree in computer science, Engineering, or a related field
- Minimum 3 years of relevant experience
- Strong problem-solving and communication skills
- Experience with AI/ML integration in mobile/web applications
- Knowledge of data pipelines and workflow automation
- On-site working requirement (as specified)
Nice to Have (Optional):
- Knowledge of the insurance industry
- Experience with cloud technology, including Azure services (AI Search, Block Storage, AKS, APIM, etc.)
If you have the required experience and are excited by building AI-enabled mobile and web solutions, please apply today.
