Lucidya is seeking a Voice AI Engineer to design, build, and deploy intelligent Voice Agents that solve real business problems. You will take these solutions from concept to production, while contributing to the development of the Lucidya AI Agent platform to embed Voice capability.
What You'll Do
- Design and implement real-time voice agents using ASR, TTS, and LLM-based reasoning.
- Evaluate Voice Agent providers, focusing on reliability and stress testing.
- Build multi-turn, stateful voice conversations with interruption handling, retries, tool-use, and fallbacks.
- Build evaluation for AI Agent performance, ensuring that AI Agents are working as expected.
- Finetune and adapt STT, TTS, and LLMs for different dialects.
- Contribute to the development of the Lucidya AI Agent platform, ensuring Voice capability is embedded.
- Deploy AI models into production environments with a focus on scalability, performance, and reliability.
- Collaborate on MLOps practices to support continuous integration, monitoring, and improvement.
- Work with streaming architectures like WebSockets, gRPC, and SIP/WebRTC.
- Analyze call logs and transcripts to continuously improve performance.
- Work closely with software engineers, product managers, and domain experts.
- Translate business problems into effective AI solutions with measurable outcomes.
- Ensure AI solutions comply with ethical standards, data privacy requirements, and legal regulations.
- Document models, algorithms, workflows, and decisions clearly for internal and external stakeholders.
- Stay up to date with the latest AI research, tools, and best practices; and apply them where valuable.
What We're Looking For
- 3+ years of hands-on experience building and deploying Voice Agents, with a proven track-record of achieving business value.
- Strong programming skills in Python.
- Solid understanding of LLMs, prompt engineering, and agent frameworks.
- Hands-on experience with voice systems (ASR, TTS, or conversational IVR).
- Practical experience with likekit and similar.
- Experience deploying AI models into production or production-like environments.
- Familiarity with speech concepts: WER, phonemes, prosody, barge-in, endpointing.
- Experience with cloud infrastructure (AWS/GCP/Azure).
- Ability to analyze complex problems and design innovative AI-driven solutions.
- Strong systems thinking, understanding how models behave in real-world environments.
- Curiosity and commitment to continuous learning in a fast-evolving AI landscape.
- Proactivity is key—not just a task doer.
- Comfortable working in cross-functional, product-driven teams.
- Able to clearly document and explain technical concepts to diverse stakeholders.
Nice to Have
- Experience with NLP, conversational AI, or agent-based systems.
- Exposure to enterprise AI deployments or SaaS platforms.
- Familiarity with MLOps, monitoring, and model lifecycle management.
- Experience working with multilingual or Arabic language data.
- Java is a plus.
Technical Stack
- Languages: Python, Java
- Voice Tech: ASR, TTS, LLMs
- Frameworks/Tools: likekit
- Streaming: WebSockets, gRPC, SIP/WebRTC
- Cloud: AWS, GCP, Azure
Team & Environment
You will be part of the new AI Agents business unit at Lucidya, helping to shape it from the ground up.
You will work on real, enterprise-grade Voice Agents, not just experiments. You will solve meaningful CX and operational challenges across the MENA region, collaborating with a highly skilled AI, data, and product team to build AI that is responsible, scalable, and impactful.
