Full Stack Developer – AI/ML

Mindteck Singapore Pte Ltd; Hong Kong; On-site; HKD 300,000 - 600,000; Full time

Job summary

Mindteck Singapore Pte Ltd is seeking a Full Stack Developer with AI/ML experience to design, develop, integrate, and maintain modern web applications with intelligent capabilities. The role covers frontend, backend, databases, and APIs, with hands-on work on AI features and secure, scalable deployment.

You will build AI-enabled solutions, integrate third-party services, and collaborate with product, AI/ML, DevOps, QA, and business teams to deliver robust software across cloud platforms.

Qualifications

• Bachelor’s degree in Computer Science, IT, Software Engineering, or related field.
• 2–5 years of full-stack development experience.
• Strong experience with JavaScript/TypeScript and frameworks such as React, Angular, or Vue.js.
• Backend experience with Node.js, Python, Java, or Spring Boot.
• Experience with REST APIs, databases, and microservices.
• Practical experience with AI/ML development or AI service integration.
• Knowledge of Generative AI, LLMs, NLP, embeddings, or RAG is an advantage.
• Experience with AWS, Azure, or GCP and basic DevOps/CI/CD practices.
• Strong problem-solving, troubleshooting, communication, and teamwork skills.

Responsibilities

• Develop and maintain full-stack web applications across frontend, backend, databases, and APIs.
• Build and integrate AI/ML features such as chatbots, intelligent search, recommendations, personalisation, analytics, and automation.
• Develop REST APIs, microservices, and third-party integrations.
• Work with relational and NoSQL databases and support data integration.
• Deploy and support applications on AWS, Azure, or GCP.
• Participate in CI/CD, Docker, testing, monitoring, and performance optimisation.
• Apply secure coding, authentication, and data protection practices.
• Troubleshoot application, API, database, and deployment issues.
• Collaborate with product, AI/ML, DevOps, QA, and business teams to deliver solutions.

Job description

Job Overview

• We are seeking a Full Stack Developer with AI/ML experience to design, develop, integrate, and maintain modern web applications with intelligent capabilities.

Key Responsibilities

• Develop and maintain full-stack web applications across frontend, backend, databases, and APIs.

• Build and integrate AI/ML features such as chatbots, intelligent search, recommendations, personalisation, analytics, and automation.

• Develop REST APIs, microservices, and third-party integrations.

• Work with relational and NoSQL databases and support data integration.

• Deploy and support applications on AWS, Azure, or GCP.

• Participate in CI/CD, Docker, testing, monitoring, and performance optimisation.

• Apply secure coding, authentication, and data protection practices.

• Troubleshoot application, API, database, and deployment issues.

• Collaborate with product, AI/ML, DevOps, QA, and business teams to deliver solutions.

Requirements

• Bachelor’s degree in Computer Science, IT, Software Engineering, or related field.

• 2–5 years of full-stack development experience.

• Strong experience with JavaScript/TypeScript and frameworks such as React, Angular, or Vue.js.

• Backend experience with Node.js, Python, Java, or Spring Boot.

• Experience with REST APIs, databases, and microservices.

• Practical experience with AI/ML development or AI service integration.

• Knowledge of Generative AI, LLMs, NLP, embeddings, or RAG is an advantage.

• Experience with AWS, Azure, or GCP and basic DevOps/CI/CD practices.

• Strong problem-solving, troubleshooting, communication, and teamwork skills.

Technical Skills

• Frontend: React / Angular / Vue.js, JavaScript / TypeScript

• Backend: Node.js / Python / Java / Spring Boot

• Database: PostgreSQL / MySQL / MongoDB

• AI/ML: TensorFlow / PyTorch / Scikit-learn, AI APIs, GenAI/LLMs

• Cloud: AWS / Azure / GCP

• DevOps: Git, CI/CD, Docker; Kubernetes is an advantage

• Security: OAuth2, OpenID Connect, JWT

Preferred

• Experience building AI-enabled enterprise applications.

• Experience with LLMs, RAG, NLP, or AI-powered search.

• Exposure to LMS, EdTech, or digital learning platforms.

• Experience with cloud-native applications and microservices.