Full Stack Software Engineer
Who We Are
WaveForms AI is an Audio LLM company redefining how humans interact with AI-making conversations more natural, engaging, and immersive. Our work combines cutting-edge research with user-focused product development, delivering real-time audio text experiences across multiple platforms.
What You'll Do
Build user-friendly UIs with React and modern JavaScript / TypeScript toolchains.
Create scalable, robust APIs using Django or FastAPI to handle real-time communication.Real-Time InteractionsImplement low-latency data exchange for audio text , enabling seamless user interaction.
Integrate existing libraries or services (e.g., WebRTC, streaming frameworks) to provide smooth real-time features.DevOps & CloudConfigure and maintain CI / CD pipelines for efficient testing and deployment.
Deploy containerized apps ( Docker , Kubernetes ) to cloud platforms ( AWS, GCP, or Azure ), ensuring scalability and high availability.Performance & SecurityOptimize system performance to handle high volumes of concurrent connections.
Follow best practices in secure API design, data handling, and access control.Collaboration & OwnershipWork closely with AI / ML teams, product managers, and UX designers to define and iterate on features.
Contribute to architectural decisions and help set best practices throughout the development lifecycle.Nice-to-Have Skills
Machine Learning Integration : Basic familiarity with PyTorch or other ML frameworks.LLM Serving : Experience with systems like vLLM or other large conversational model serving solutions.Audio Streaming : Knowledge of audio processing or protocols (e.g., ffmpeg, WebRTC).GPU Acceleration : Understanding of scaling AI workloads on GPU-based infrastructures.Mobile & Cross-Platform : Experience integrating services into iOS, Android, or other desktop platforms.Required Experience
Minimum 4-5 years of relevant experienceWhy Join WaveForms AI?
Innovative Culture : Shape Audio LLM solutions that push the boundaries of AI-driven conversation.Cutting-Edge Tech : Work on real-time data handling, cloud scalability, and advanced ML integrations.Meaningful Impact : Contribute directly to how users will engage with AI across diverse platforms.Growth & Collaboration : Join a team that values your ideas and fosters skill development.
