Principal Full-Stack Software Engineer - AI Applications

Job Description

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 [email protected] "Mining The Knowledge Community"