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
Interested candidates, please send your CVs on [Confidential Information]
Regret to inform that only shortlisted candidates will be notified.
CEI: R1988671
EA License: 14C7275
