Job Description

We are looking for an experienced AI / Full-Stack Developer to design, develop, and implement scalable, intelligent applications that combine contemporary web technologies with Artificial Intelligence and Machine Learning capabilities. The role focuses on end-to-end application development, AI integration, backend services, and user-friendly interfaces to support business automation, advanced analytics, and data-driven decision-making. Working closely with solution architects, data engineers, and business stakeholders, the developer ensures seamless integration between AI services, enterprise platforms, and modern applications while maintaining high standards of performance, security, and scalability.

Key Responsibilities

- Design, develop, and maintain full-stack applications integrating AI/ML capabilities with modern web technologies and enterprise systems.
- Build responsive and user-friendly front-end applications using frameworks such as React, Angular, or Vue.js.
- Develop scalable back-end services, APIs, and application logic using Python,



Node.js, or similar technologies.
- Integrate AI/ML models, Large Language Models (LLMs), and generative AI services into business applications and workflows.
- Develop and implement AI-powered functionalities, including intelligent automation, predictive analytics, and data-driven applications.
- Design and maintain REST APIs, microservices, and integration components connecting applications with enterprise data platforms.
- Collaborate with data engineers and AI specialists to integrate machine learning models, data pipelines, and external AI services.
- Implement authentication, authorization, data protection, and application security best practices.
- Optimize application performance, scalability, and reliability across front-end, back-end, and AI components.
- Support application testing, debugging, deployment, technical documentation, and continuous improvement initiatives.

📌 AI / Full-Stack Developer (Hyderabad)
🏢 Fusion Consulting
📍 Hyderabad