Software Engineer, LLM Inference Engine and Product

Software Engineer, LLM Inference Engine and Product Get AI-powered advice on this job and more exclusive features. Job title: Software Engineer, LLM Inference Engine and Product / Member of Technical Staff Who We Are WaveForms AI is an Audio Large Language Models (LLMs) company building the future of audio intelligence through advanced research and products. Our models will transform human-AI interactions making them more natural, engaging and immersive. Role overview: The Software Engineer, LLM Inference Engine and Product will focus on developing and optimizing a real-time inference engine for multimodal large language models (LLMs) that handle audio and text inputs seamlessly. This role involves leveraging technologies such as LiveKit, RTC engines, WebRTC, and FastAPI to create an efficient, real-time API layer. You will contribute to cutting-edge AI systems that enable smooth user experiences across platforms, including iOS, Android, and desktop. Key Responsibilities Real-time Inference Development: Build and optimize a robust inference engine that supports multimodal LLMs, handling real-time audio and text inputs. Technology Integration: Leverage tools like LiveKit, RTC engines, WebRTC, and FastAPI to enable low-latency, real-time communication and inference. End-to-End Pipeline Design: Create and maintain the complete inference pipeline, from data ingestion to model serving, ensuring real-time performance. Cross-platform Compatibility: Ensure the inference engine operates efficiently across various platforms, including mobile (iOS/Android) and desktop. Optimization & Performance Tuning: Optimize the inference system to reduce latency, improve throughput, and enhance user experience. API Development: Design and maintain scalable APIs to support real-time LLM interaction for diverse applications. Required Skills & Qualifications Inference Engine Expertise: Proven experience in building and optimizing inference engines for multimodal AI systems, particularly combining audio and text inputs. Technical Proficiency: Strong experience with LiveKit, RTC engines, WebRTC, and FastAPI for real-time communication and model inference. Real-time System Design: Expertise in creating real-time pipelines and maintaining low-latency performance in production systems. Cross-platform Development: Familiarity with iOS, Android, and desktop app development, ensuring seamless integration with inference systems. Performance Optimization: Proficiency in optimizing inference engines to reduce latency and improve computational efficiency. API Development: Experience in designing and maintaining APIs for real-time AI applications. Minimum Experience 4-5 years of relevant professional experience is required Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at WaveForms AI by 2x San Francisco, CA $160,000 - $180,000 2 days ago San Francisco, CA $130,000 - $238,000 2 weeks ago San Francisco, CA $40,000 - $70,000 2 weeks ago San Francisco, CA $145,000 - $230,000 2 weeks ago San Francisco, CA $140,000 - $280,000 7 months ago San Francisco, CA $130,000 - $185,000 1 month ago San Francisco, CA $100,000 - $200,000 1 year ago San Francisco, CA $120,000 - $140,000 3 days ago San Francisco, CA $120,000 - $200,000 2 years ago San Francisco, CA $150,000 - $250,000 9 months ago San Francisco, CA $130,000 - $250,000 6 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr