Job Description
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 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.
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 experience
Why 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.
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