Voice ai engineer (mid/senior)

About LucidyaLucidya is a fast-growing Saa S company building AI-powered customer experience solutions for enterprises across the MENA region. Known for our deep expertise in Arabic-first AI, we help organizations understand, serve, and engage their customers at scale.About The RoleWe are now launching a new AI Agents business unit, focused on building AI Agent platforms and solutions to solve critical pain-points in Customer Experience — securely, responsibly, and at scale.As an AI Engineer specialising in Voice Agents, you will be responsible for designing, building, and deploying intelligent Voice Agents that solve real business problems. The Voice Agents is a key strategic pillar for the Agent AI business unit. This role goes beyond experimentation — you will help take Voice Agents from concept to production, ensuring performance, reliability, and business impact. You will have the opportunity to showcase your ability to build from 0 to a real solution that drives value.What You'll DoAI & Agent DevelopmentDesign and implement real-time voice agents using ASR, TTS, and LLM-based reasoningEvaluate Voice Agent providers, focusing on reliability and stress testingBuild multi-turn, stateful voice conversations with interruption handling (barge-in), retries, tool‑use and fallbacksBuild evaluation for AI Agent performance, ensuring that AI Agents are working as expectedFine‑tune and adapt STT (Speech to Text), TTS (Text to Speech) and LLMs for different dialectsContribute to the development of the Lucidya AI Agent platform, ensuring that Voice capability is embedded in the platformProduction & ScalabilityDeploy AI models into production environments with a focus on scalability, performance, and reliabilityCollaborate on MLOps practices to support continuous integration, monitoring, and improvementWork with streaming architectures (Web Sockets, g RPC, SIP/Web RTC)Analyse call logs and transcripts to continuously improve performanceCross‑Functional CollaborationWork closely with software engineers, product managers, and domain expertsTranslate business problems into effective AI solutions with measurable outcomesGovernance & QualityEnsure AI solutions comply with ethical standards, data privacy requirements, and legal regulationsDocument models, algorithms, workflows, and decisions clearly for internal and external stakeholdersStay up to date with the latest AI research, tools, and best practices; and apply them where valuableRequirementsWhat we're looking forTechnical Skills3+ years of hands‑on experience building and deploying Voice Agents, with a proven track‑record of achieving business valueStrong programming skills in Python (Java is a plus)Solid understanding of LLMs, prompt engineering, and agent frameworksHands‑on experience with voice systems (ASR, TTS, or conversational IVR)Practical experience with likekit and similarExperience deploying AI models into production or production‑like environmentsFamiliarity with speech concepts: WER, phonemes, prosody, barge‑in, endpointingExperience with cloud infrastructure (AWS/GCP/Azure)Problem‑Solving & MindsetAbility to analyse complex problems and design innovative AI‑driven solutionsStrong systems thinking, understanding how models behave in real‑world environmentsCuriosity and commitment to continuous learning in a fast‑evolving AI landscapeProactivity is key — not just a task doerCollaboration & CommunicationComfortable working in cross‑functional, product‑driven teamsAble to clearly document and explain technical concepts to diverse stakeholdersNice to HaveExperience with NLP, conversational AI, or agent‑based systemsExposure to enterprise AI deployments or Saa S platformsFamiliarity with MLOps, monitoring, and model lifecycle managementExperience working with multilingual or Arabic language dataWhy Join Lucidya's AI Agents Team?Work on real, enterprise‑grade Voice Agents, not just experimentsShape a new business unit from the ground upSolve meaningful CX and operational challenges across the MENA regionCollaborate with a highly skilled AI, data, and product teamBuild AI that is responsible, scalable, and impactful