Senior AI Engineer - Voice
Enteractive 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.
Senior AI Engineer - Voice
Enteractive 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 Role
We 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 Responsibilities
Design and build real-time voice AI pipelines
Develop and optimize low-latency streaming systems using tools like LiveKit
Implement and fine-tune Voice Activity Detection (VAD) and turn-taking logic
Engineer robust prompting strategies for conversational AI (multi-turn, context-aware flows)
Integrate LLMs with voice interfaces for agent-assist and autonomous interactions
Optimize for latency, interruption handling, and conversational naturalness
Evaluate and improve speech recognition accuracy and voice synthesis quality
Work closely with product and operations to embed voice AI into player engagement workflows
Ensure scalability, observability, and fault tolerance of real-time systems
Required Skills / Experience
5+ years of experience in software engineering, with strong exposure to real-time or AI systems
Hands-on experience with voice AI components including STT, TTS & VAD
Experience with LiveKit or similar real-time communication frameworks (WebRTC, media pipelines)
Strong experience with LLMs and prompt engineering for conversational systems
Proficiency in Python
Understanding of latency optimization and streaming architectures
Experience building and deploying production-grade systems
- Teams
- Tech
- Locations
- Malta (HQ)
- Remote status
- Hybrid