Full Stack Software Engineer

The Full Stack Software Engineer at WaveForms AI is responsible for building user-friendly UIs with React, creating scalable APIs using Django or FastAPI, implementing low-latency interactions, and maintaining CI/CD pipelines. You will also focus on optimizing system performance for high traffic, ensuring security best practices, and collaborating with cross-functional teams to define and iterate on features.

To be considered for the Full Stack Software Engineer role at WaveForms AI, candidates should have a minimum of 4-5 years of relevant experience. Proficiency in modern JavaScript and TypeScript, experience with React and backend frameworks like Django or FastAPI, and knowledge of DevOps practices are required. Familiarity with audio processing and machine learning technologies is a plus.

The Full Stack Software Engineer contributes to WaveForms AI's innovative culture by actively participating in the development of audio LLM solutions. You’ll have the opportunity to influence architectural decisions, collaborate with AI/ML teams on integrating advanced functionalities, and introduce new ideas that can expand the capabilities of our AI-driven conversation systems.

A Full Stack Software Engineer at WaveForms AI will work with a variety of technologies including React for frontend development, Django or FastAPI for backend APIs, and tools for containerization such as Docker and Kubernetes. Additionally, cloud platforms like AWS, GCP, or Azure are integral to deployment processes, and you'll engage with real-time data handling techniques and machine learning frameworks.

The team culture for Full Stack Software Engineers at WaveForms AI is collaborative and innovative. Team members are encouraged to share ideas and contribute to the project lifecycle. Regular collaboration with product managers, UX designers, and AI/ML specialists promotes a dynamic environment where developers can thrive and grow their skill sets.

In discussing your experience with React, highlight specific projects where you implemented its component-based architecture. Explain how you used React's features, such as state management and hooks, to create responsive and intuitive user interfaces that improve user interactions.

When discussing API scalability, emphasize your experience with designing RESTful services, implementing rate limiting, and caching techniques. Highlight any tools or frameworks you’ve used for API development, particularly Django or FastAPI, and mention how you ensure APIs can handle increased traffic effectively.

To ensure low-latency data exchange, discuss your experience with technologies like WebRTC and techniques such as WebSocket and polling. Provide examples of how you've implemented these strategies in previous projects to enhance real-time interaction for users.

In your answer, describe your familiarity with containerization tools like Docker and orchestration tools like Kubernetes. Discuss how you've set up CI/CD pipelines to automate testing and deployment processes, ensuring that new features can be rolled out efficiently and consistently.

Discuss your understanding of API security best practices, such as using OAuth for authentication, validating inputs to prevent injection attacks, and implementing HTTPS. Provide examples of how you've secured APIs in your previous roles to protect sensitive user data.

Explain your approach to performance optimization, including techniques like load balancing, query optimization, and using caching mechanisms. Use specific examples to illustrate how these methods have helped you scale applications during peak periods.

Describe your experience with tools like Git and platforms like GitHub or GitLab for version control and collaboration. Share how you manage branching strategies and code reviews to keep the codebase organized and maintain high code quality.

Highlight a specific project where you worked closely with product managers, user experience designers, or AI specialists. Discuss how effective communication and collaboration led to successful outcomes and improved the overall product development process.

In your answer, cover your familiarity with cloud services and explain how you've utilized platforms like AWS or GCP for deploying applications, managing databases, or implementing scalable solutions. Offer specific examples of projects that benefitted from cloud technologies.

Discuss your commitment to continuous learning by mentioning online resources, courses, or community contributions, such as attending conferences or participating in open-source projects. Emphasize how staying informed helps you apply new technologies and methodologies in your work.