Principal Full-Stack Software Engineer

Principal Full-Stack Software Engineer - AI Applications Bangalore Founded in 2023,by Industry veterans HQ in California,US - We are revolutionizing sustainable AI compute through intuitive software with composable silicon Principal Full-Stack Software Engineer - AI Applications Overview: You will design and build end-to-end AI applications that bring multimodal large-model intelligence (text, image, audio, and video) to users directly through the browser - entirely locally on our AI appliance. Your work will bridge high-performance inference systems with beautiful, intuitive user experiences that feel cloud-class but run offline with zero data sharing. Key Responsibilities: 1. End-to-End Application Development - Architect and develop browser-based interfaces that interact seamlessly with local inference APIs for LLMs, diffusion models, and speech/video pipelines. - Build intuitive UIs for multimodal interactions - chat with voice input, document upload, image generation, or video analysis - powered by local AI. - Develop backend services and REST/gRPC/WebSocket APIs that connect user interfaces with underlying ML inference engines. 2. System Integration - Collaborate closely with ML and DevOps engineers to integrate optimized inference pipelines into user-facing apps. - Design real-time data flow between modalities (e.g., speech-to-text → LLM → image generation). - Handle efficient local caching, model loading, and concurrent request management for responsive UX. 3. Performance & Scalability - Optimize front-end rendering and data transfer for sub-second multimodal interactions (e.g., token streaming, progressive rendering). - Implement asynchronous I/O and event-driven backends for high concurrency and low latency. - Profile and tune browser and backend performance under multimodal workloads. 4. UX/UI for AI Interactions - Prototype and refine AI-native UI patterns (real-time chat streaming, voice controls, dynamic image panels, etc). - Collaborate with designers to make complex AI capabilities intuitive and accessible. - Conduct user testing and feedback loops to ensure the experience feels fast, private, and premium. 5. Reliability, Security & Local Privacy - Implement strong sandboxing, local data storage, and access controls to ensure user data never leaves the appliance. - Maintain robust CI/CD pipelines for frequent local software updates. - Ensure fail-safe handling of multimodal data (e.g., secure local video/audio processing). Required Qualifications: - 10+ years of experience in full-stack web application development. - Proficiency in modern front-end frameworks (React, Next.js, Svelte, or Vue) and TypeScript/JavaScript. - Strong backend experience in Python (FastAPI/Flask), Node.js, Go, or Rust. - Deep understanding of real-time web technologies - WebSockets, WebRTC, event streams, and async APIs. - Experience interfacing with AI/ML backends via REST or gRPC APIs. - Strong grounding in systems programming concepts - memory management, concurrency, and performance optimization. - Comfortable with Linux, Docker, and command-line tools for local development and deployment. Preferred Qualifications: - Experience building apps that integrate LLMs, text-to-image, or speech models. - Familiarity with multimodal data handling - audio/video streaming, file parsing, camera/mic APIs. - Exposure to WebGPU, WebAssembly, or other browser-based acceleration techniques. - Understanding of edge or local-first architectures and offline data persistence. - Design sensitivity - ability to prototype clean, modern interfaces for AI interactions. Contact: Uday Mulya Technologies muday_bhaskar@yahoo.com "Mining The Knowledge Community"