Skill diminta
AWSAngularAzureCI/CDDockerFastAPIFlaskGCPJavaJavaScriptKubernetesMicroservicesMongoDBMySQLNode.jsPostgreSQLPyTorchPythonReactScikit-learnSpring BootTensorFlowTypeScriptVue.js
Gaji pasar untuk posisi ini
Median Rp10 jt/bulan · rentang umum Rp7,5 jt – Rp12,3 jt
Berdasarkan 207 lowongan DevOps & Infrastructure se-Indonesia (semua level).
Lihat data gaji selengkapnya →Deskripsi
- Job description for Full Stack Developer (AI/ML Focus) at Mindteck
- Singaporean Only
- Job Title: Full Stack Developer (AI/ML Focus)
- Summary
- We are seeking a motivated
- Full StackDeveloper with AI/ML exposure
to join our growing software engineeringteam. In this role, you will design and build modern applications that leverageartificial intelligence to deliver smarter, more efficient user experiences.
- This position is ideal for engineers whoare passionate about both
- software development and applied AI
- , and whowant to work on real-world AI-enabled products.
- Key Responsibilities
- Design and build scalable full stack applications from frontend to backend
Develop and integrate AI-powered features such as
- Conversational interfaces (chatbots)
- Intelligent search or recommendations
- Automation and decision-support systems
- Work with APIs and microservices to connect AI services with application workflows
- Collaborate with cross-functional teams including data scientists and product owners
- Participate in system design, architecture discussions, and technical decision-making
- Deploy and monitor applications in either cloud or on-prem environments
- Write clean, maintainable, and well-documented code
- Contribute to both
- Agile sprints or structured Waterfall phases
- as required
- Technical Requirements
- Degree in Computer Science, Software Engineering, or related discipline
- 2–5 years of experience in full stack development
Strong frontend development skills
- JavaScript / TypeScript
- React, Angular, or Vue.js
Backend development experience
Node.js, Python (FastAPI/Flask), or Java (Spring Boot)
Experience with databases
- Relational (PostgreSQL, MySQL) or NoSQL (MongoDB)
- Understanding of API design and integration (REST/JSON)
- AI/ML Requirements
- Basic to intermediate knowledge of machine learning concepts
Experience (project or professional) with
- AI/ML libraries (TensorFlow, PyTorch, Scikit-learn), or
- AI APIs (OpenAI, Azure AI, AWS AI)
- Preferred Skills
- Experience with cloud platforms (Azure, AWS, or GCP)
- Familiarity with CI/CD pipelines and DevOps practices
- Exposure to containerization (Docker, Kubernetes)
- Experience working in Agile environments or structured SDLC (Waterfall)
- Knowledge of security best practices and authentication mechanisms