Job
Description
Role & responsibilities: We are building a cutting-edge GenAI-based no-code platform that enables users to set up AI agentswith pre-configured tools and techniques. Our platform includes multi-tenant support, tenant and usermanagement, role-based access control, billing, agent management, performance analytics, and an interactive chat interface.We are looking for a Full Stack Developer who is passionate about AI and end-to-end problem-solving,with expertise in React and at least one backend technology (Java, Python, or Node.js). The idealcandidate should also have experience using AI-powered development tools for faster coding and debugging, along with a strong focus on code quality, unit testing, and best practices. 3+ years of experience in full-stack development. Proficiency in React.js and state management (Redux/Zustand/Context API). Experience in backend technology: Java (Spring Boot), Python Strong understanding of RESTful APIs, GraphQL, and WebSockets. Understanding of CI/CD, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). Familiarity with DevOps practices, monitoring, and logging tools (Grafana, Prometheus, ELK). Hands-on experience with AI development tools (e.g., GitHub Copilot, ChatGPT, Codex, Tabnine) for accelerating software development. Strong understanding of code quality, unit testing, and software best practices. Solid grasp of agile methodologies, version control (Git), and automated testing. Ability to write clean, efficient, and well-documented code. Strong problem-solving skills and ability to work independently Good to have: Experience with AI/ML models and their integration into web applications. Knowledge of serverless architectures and event-driven systems. Familiarity with message queues (Kafka, RabbitMQ). Prior experience working on multi-tenant SaaS platforms. Preferred candidate profile : Full-Stack Development: Develop and maintain scalable, high-performance applications using React for the frontend and Java/Python for the backend. AI Integration: Work closely with data scientists and AI engineers to integrate AI models into the platform. AI-Assisted Development: Leverage AI-powered tools (such as GitHub Copilot, ChatGPT, Tabnine, etc.) to accelerate coding, debugging, and development efficiency. Frontend Security & Best Practices: Implement secure coding practices for the frontend, ensuring protection against XSS, CSRF, SQL injection, and other vulnerabilities. Authentication & Authorization: Implement and manage OAuth, JWT, SSO, Role-Based Access Control (RBAC), and Multi-Factor Authentication (MFA). Microservices & APIs: Familiar with design, development, and optimisation of RESTful APIs and GraphQL endpoints. Database Management: Work with relational (PostgreSQL/MySQL) and NoSQL (MongoDB/Redis) databases. Cloud & DevOps: Understanding of deployment, monitoring of applications on AWS, GCP, or Azure using CI/CD pipelines, Docker, and Kubernetes. Agile Development: Collaborate in an Agile environment, participating in sprints, code reviews, and daily standups. And should have experience with agile tools like JIRA. Peer Code Reviews: Participate in code reviews to ensure high-quality, maintainable, and secure code.
