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.
Full-Stack Development
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 Interactions
Implement 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 & Cloud
Configure 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 & Security
Optimize system performance to handle high volumes of concurrent connections.
Follow best practices in secure API design, data handling, and access control.
Collaboration & Ownership
Work 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.
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.
Minimum 4-5 years of relevant experience
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.
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