Voice AI Engineer (Real-Time Speech)

N-iX is seeking a Voice AI Engineer for a project with a major Azerbaijani telecommunications company. The role involves building a real-time voicebot pipeline (STT → LLM → TTS) on AWS, integrating with enterprise telephony platforms, and ensuring data privacy compliance.

• Design, build, and operationalize end-to-end real-time STT → LLM → TTS voicebot pipelines on AWS.
• Deploy and maintain production customer-trained Whisper (Azerbaijani ASR) and Azerbaijani TTS models as low-latency endpoints on Amazon SageMaker and GPU node pools.
• Implement and manage the Bedrock Proxy Gateway on EKS for multi-model routing, priority queuing via Redis Sorted Sets, cost caps, and high-availability serving targeting ~200 rps.
• Integrate voicebot and chatbot decision engines with Avaya, Genesys, and Pelatro.
• Establish LLMOps & MLOps pipelines using Amazon SageMaker Pipelines and MLflow.
• Build call and chat transcription pipelines to ingest, transcribe, and extract real-time insights.
• Enforce data sovereignty and privacy controls by integrating on-premises FPE and tokenization wrappers.
• Define NFR baselines, dialogue flows, voicebot persona, turn-taking, and fallback/escalation logic.
• Automate ML deployment workflows using GitLab CI/CD and Infrastructure-as-Code (Terraform or AWS CDK), establishing observability and FinOps spend/anomaly monitoring via Amazon CloudWatch and Splunk.

• 4+ years of hands-on experience with machine learning and Speech Processing with a primary focus on real-time conversational AI, ASR (STT), and TTS voice pipelines.
• Deep expertise with Amazon SageMaker (real-time GPU inference endpoints, Pipelines, Feature Store, Model Registry) and Amazon Bedrock (AgentCore, Bedrock Guardrails, Knowledge Bases).
• Proven track record in streaming speech inference, speech synthesis, and low-latency audio processing.
• Strong experience in GPU optimization and containerized orchestration (NVIDIA A100/L40S, AWS EC2 GPU instances, Docker, Kubernetes/EKS).
• Solid understanding of contact center and telephony platform integrations (Avaya, Genesys) and real-time decisioning interfaces.
• Proficient in Python, Redis (priority queuing & caching), and data security/privacy (FPE tokenization, handling sensitive/PII data).
• AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect. (nice-to-have)
• Hands-on experience with EMR-on-EKS, Apache Iceberg, or MSK (Kafka) streaming pipelines. (nice-to-have)
• Strong critical thinking, problem-solving, and analytical skills with ownership of mission-critical, low-latency deliverables.
• Excellent communication and collaboration skills to work closely with cross-functional teams (AI Architects, Data Engineers, CC SMEs, and Security/Compliance).
• Results-oriented, proactive mindset with strong ownership within an Agile / Scrum framework.
• Upper-Intermediate+ English level (written and spoken).

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits