Full Stack Developer

Role Overview

We are seeking a motivated Full Stack Developer with AI/ML exposure to join our growing software engineering team. In this role, you will design and build modern applications that leverage artificial intelligence to deliver smarter, more efficient user experiences.

This position is ideal for engineers who are passionate about both software development and applied AI, and who want 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

Interested candidates, please send your CVs on [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275