Highlights
Building cutting-edge AI applications, integrating advanced APIs, and developing secure systems.
Description
Job Summary
pWe are seeking a Full Stack Developer to join our dynamic team. The ideal candidate will have expertise in building responsive web applications that integrate advanced AI technologies such as ChatGPT and Google Gemini. You will be responsible for developing Agentic AI workflows, implementing real-time video proctoring interfaces, and creating secure authentication systems.
Responsibilities
- Develop responsive web applications using Angular, React.js, or Vue.js
- Build Agentic AI workflows and autonomous agents with N8N
- Create RESTful and GraphQL APIs for AI model integration
- Design and optimize SQL/NoSQL databases for high-performance applications
- Integrate LLM APIs for automated assessment generation, grading, and feedback systems
- Develop cloud-native applications using AWS, GCP, or Azure
- Implement secure authentication and authorization using OAuth 2.0, JWT, and SSO
- Build CI/CD pipelines and deploy containerized applications with Docker and Kubernetes
Required Skills
- Angular (required)
- N8N for workflow automation
- AI Integration: ChatGPT API, Google Gemini API
- MS SQL Server (required)
- Cloud Platforms: AWS or GCP
Required Skills Explained
{'html': "
- Angular: A popular framework for building dynamic and interactive web applications.
- React.js: A JavaScript library for building user interfaces, known for its flexibility and efficiency.
- Next.js: An open-source React framework that helps you to build server-side rendered web applications with a single codebase.
- Vue.js: A progressive framework for building user interfaces with a simple API and declarative rendering.
- TypeScript: An statically typed superset of JavaScript that provides better tooling support and error checking.
- Tailwind CSS: A utility-first CSS framework for quickly styling web components.
- Node.js: A JavaScript runtime built on Chrome's V8 engine, used to build scalable network applications.
- Python (FastAPI/Django): Python frameworks for building robust and high-performance web applications with a focus on convention over configuration.
- .NET Core: An open-source framework by Microsoft for developing cross-platform applications.
- Java Spring Boot: A popular framework for building enterprise-scale Java-based web applications, known for its simplicity and rapid development cycle.
- N8N: A workflow automation platform that allows you to build complex workflows using a visual interface or API integrations.
- ChatGPT API: An AI language model API for generating human-like text based on the input prompt.
- Google Gemini API: Another AI language model API with similar capabilities as ChatGPT, designed for different use cases and models.
- OpenAI SDKs: A collection of software development kits that provide access to various OpenAI services and models.
- LangChain: An open-source library that provides tools to develop advanced applications using LLMs (Large Language Models).
- LlamaIndex: An open-source platform for creating, querying, and managing AI-powered indexes from unstructured data sources.
- MS SQL Server: A relational database management system developed by Microsoft, known for its reliability and scalability.
- PostgreSQL: An open-source object-relational database management system that supports a wide variety of programming languages and platforms.
- NoSQL (MongoDB): A collection-oriented NoSQL database offering flexible data models and high performance.
- Redis caching: An in-memory data store used for caching frequently accessed data to improve application performance.
- AWS (Lambda, EC2, S3, CloudFront): A suite of cloud services by Amazon Web Services for building scalable applications.
- GCP: Google Cloud Platform offers a wide range of cloud computing and storage services.
- Azure: Microsoft's cloud platform that provides various tools and services for application development and deployment.
- WebRTC, Agora.io, Twilio Video: Real-time communication frameworks used to build interactive and live video applications.
- Socket.io, WebSockets, Server-Sent Events: Protocols for real-time data transfer over the web using HTML, CSS, and JavaScript.
- Docker: An open-source platform that automates the deployment of applications as portable, self-sufficient containers.
- Kubernetes: A popular container orchestration system for managing containerized applications at scale.
- Jenkins, GitHub Actions, Terraform: Tools for continuous integration/continuous delivery (CI/CD) and infrastructure-as-code (IaC).
"}
Who is this for
pThis role is ideal for Full Stack Developers who have a passion for building AI-powered web applications and enjoy working in an agile team environment. Experience with Agentic AI, real-time communication technologies, and cloud-native development is highly valued.
Why This Job is a Good Opportunity
{'html': 'ulliOpportunity to work on cutting-edge AI technologies like ChatGPT and Google Gemini.liChances to build innovative real-time video proctoring interfaces using WebRTC and cloud streaming services.liPotential for growth in the rapidly expanding field of agentic AI workflows.liExposure to diverse backend languages and frameworks, enhancing your technical skills set.liA chance to work with a variety of databases including MS SQL Server, PostgreSQL, and NoSQL solutions like MongoDB.liExperience in integrating various cloud platforms such as AWS, GCP, and Azure for cloud-native application development.liOpportunities to build secure authentication and authorization systems using modern protocols like OAuth 2.0 and JWT.liPotential for involvement in CI/CD pipelines and containerization technologies which are essential for modern software development practices.'}
Interview Preparation Tips
{'html': '
- Review the key skills mentioned in the job description, especially those related to AI, cloud platforms, and database management.
- Practice coding challenges using popular frameworks like Angular, React.js, and Vue.js.
- Familiarize yourself with N8N for workflow automation and AI agent orchestration tasks.
- Prepare examples of how you have integrated LLM APIs in previous projects or personal projects.
- Study different database systems such as MS SQL Server, PostgreSQL, MongoDB, and Redis to demonstrate your understanding of data management techniques.
- Research the differences between cloud platforms like AWS, GCP, and Azure, and be ready to discuss which would be best suited for specific tasks in a project.
- Be prepared to explain how you have implemented real-time communication features using WebRTC or similar technologies.
- Understand CI/CD principles and demonstrate knowledge of tools like Jenkins and GitHub Actions.
'}
Career Growth in This Role
{'html': 'pCareer growth within this role can be significant, as the position involves working on advanced AI technologies and real-time communication systems. With experience, you can specialize further into areas such as agentic AI workflows, cloud-native application development, or real-time video proctoring.pAs a full-stack developer in an education/technology environment, you may have opportunities to lead teams, manage projects, and contribute to the design and architecture of complex systems. This role also provides ample opportunity for continuous learning, as new AI technologies are constantly evolving.'}
Explore More Opportunities
Skills
Frequently Asked Questions
What is the role of N8N in this position?N8N will be used for workflow automation and integrating AI agents. You will use it to orchestrate complex workflows and automate processes.
What cloud platforms are you familiar with?We are familiar with AWS, GCP, and Azure. Experience in any of these platforms is highly valued.
Do I need experience with AI integration?Yes, experience integrating AI APIs such as ChatGPT and Google Gemini API is required for this role.
