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Coimbatore, Tamil Nadu, India
Onsite
Overview:
The BYX Platform brings together enterprise web applications, APIs, AI-powered workflows and analytics to solve complex business and engineering problems.
We are seeking an astute Platform Full Stack & AI Applications Engineer with a strong technical foundation and hands-on experience building scalable, secure and production-ready applications across frontend, backend, AI and cloud technologies.
Our current technical environment:
Frontend Development: Next.js, React, Vue.js, Nuxt.js, TypeScript, JavaScript, HTML5, Tailwind CSS, Bootstrap and responsive user-interface development.
Backend and Data: Node.js, NestJS, Express.js, Python, Flask, ASP.NET, REST APIs, PostgreSQL, MongoDB, MySQL and Firebase.
AI and Intelligent Applications: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, Model Context Protocol (MCP), prompt engineering, NLP, Speech-to-Text, Text-to-Speech, OpenCV, PyTorch and TensorFlow.
Enterprise Applications and Integration: Micro-frontends, reusable components, dashboards, data visualization, workflow automation, API integrations, authentication and scalable service architecture.
Cloud and DevOps: AWS, Azure, Docker, Linux, Nginx, Proxmox, Git, GitHub/GitLab, GitHub Actions, CI/CD and self-hosted or cloud-native deployments.
What you’ll do:
Design, develop and maintain scalable enterprise web applications using modern frontend, backend and cloud technologies.
Build responsive, accessible and reusable user interfaces with Next.js, React or Vue.js and modern CSS frameworks.
Develop secure backend services, REST APIs and integration layers using NestJS, Node.js, Python or comparable frameworks.
Design and integrate AI-powered capabilities such as conversational assistants, enterprise analytics, intelligent recommendations and workflow automation.
Implement and improve LLM, RAG, AI-agent, prompt-engineering, voice-AI and private-data processing workflows where applicable.
Create real-time dashboards for analytics, KPI monitoring, reporting and decision support using reusable visualization components.
Translate complex business workflows and user needs into intuitive, maintainable and production-ready software features.
Integrate AI services with enterprise applications and backend data to deliver reliable and context-aware user experiences.
Contribute to modular application architecture, including micro-frontends, reusable components and maintainable service boundaries.
Design data models, queries and persistence workflows using relational and NoSQL databases such as PostgreSQL, MongoDB or MySQL.
Integrate internal and third-party services while applying appropriate authentication, validation, error handling and observability practices.
Containerize, configure and deploy applications using Docker, Linux, Nginx, CI/CD pipelines and cloud or self-hosted infrastructure.
Improve application performance, security, reliability and quality through testing, code reviews, profiling and production diagnostics.
Collaborate with product, design, engineering, data and platform teams to translate business requirements into production-ready solutions.
Document technical designs and operational guidance, share knowledge and mentor junior developers when required.
What we are looking for:
3–5 years of relevant professional experience in full stack development, AI-enabled applications or closely related software engineering roles.
Strong programming skills in JavaScript or TypeScript, plus practical experience with Python; C# experience is an advantage.
Hands-on experience with React and Next.js or comparable modern frontend frameworks such as Vue.js or Nuxt.js.
Experience building backend applications and services using Node.js, NestJS, Express.js, Flask, ASP.NET or comparable frameworks.
Strong understanding of REST APIs, JSON, HTTP/HTTPS, authentication, error handling and integration patterns.
Practical experience with PostgreSQL, MongoDB, MySQL, Firebase or comparable relational and NoSQL data stores.
Working knowledge of LLM-based application development, RAG, AI agents, prompt engineering, NLP or conversational and voice AI.
Exposure to AI/ML frameworks and computer-vision tools such as PyTorch, TensorFlow or OpenCV is preferred.
Experience building dashboards, analytics solutions, data-driven applications or business workflow automation.
Strong foundation in HTML5, responsive design, component-based UI development and modern styling frameworks.
Understanding of scalable software architecture, reusable components, micro-frontends and maintainable service design.
Experience with Docker, Linux, Nginx and AWS, Azure or comparable cloud and self-hosted deployment environments.
Proficiency with Git-based workflows and practical knowledge of CI/CD, automated builds, testing and release practices.
Strong analytical, debugging and performance-optimization skills across frontend, backend and AI application layers.
Clear communication, documentation and collaboration skills, with the ability to work effectively in cross-functional teams.
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
