Full Stack Developer – AI/ML

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

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.

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.

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

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.