Senior AI Engineer - VoiceEnteractive is a leader in player engagement and retention for the iGaming industry. We combine human interaction with technology to deliver unique customer experiences at scale.We are building the next generation of AI-powered voice systems to augment and scale our engagement capabilities - enabling real-time, natural, and intelligent conversations with players, complementing our existing human outreach.The RoleWe are looking for a Senior Voice AI Engineer to design and build real-time conversational voice systems that integrate seamlessly into our engagement workflows.This role focuses on low-latency, production-grade voice pipelines, combining Speech-to-Text (STT), LLM reasoning, and Text-to-Speech (TTS) into cohesive, high-quality experiences.You’ll be working on systems that need to feel natural, responsive, and human-like, operating under strict performance and reliability constraints.Key ResponsibilitiesDesign and build real-time voice AI pipelinesDevelop and optimize low-latency streaming systems using tools like LiveKitImplement and fine-tune Voice Activity Detection (VAD) and turn-taking logicEngineer robust prompting strategies for conversational AI (multi-turn, context-aware flows)Integrate LLMs with voice interfaces for agent-assist and autonomous interactionsOptimize for latency, interruption handling, and conversational naturalnessEvaluate and improve speech recognition accuracy and voice synthesis qualityWork closely with product and operations to embed voice AI into player engagement workflowsEnsure scalability, observability, and fault tolerance of real-time systemsRequired Skills / Experience5+ years of experience in software engineering, with strong exposure to real-time or AI systemsHands-on experience with voice AI components including STT, TTS & VADExperience with LiveKit or similar real-time communication frameworks (WebRTC, media pipelines)Strong experience with LLMs and prompt engineering for conversational systemsProficiency in PythonUnderstanding of latency optimization and streaming architecturesExperience building and deploying production-grade systems
