Senior AI Engineer - GenAI, AI Platform & Voice AI

Job description

Mavenir is building the future of networks and pioneering advanced technology, focusing on the vision of a single, software-based automated network that runs on any cloud. As the industry's only end-to-end, cloud-native network software provider, Mavenir is transforming the way the world connects, accelerating software network transformation for 250+ Communications Service Providers in over 120 countries, which serve more than 50% of the world’s subscribers. Role Summary We are looking for a highly capable Senior AI Engineer with 3–4 years of hands-on AI/ML experience to design, build, and productionize scalable AI systems across Generative AI, AI platforms, AI gateways, Voice AI, LLM fine-tuning, ML training, and ML pipelines. This role is for someone who can take ownership of complex AI initiatives end-to-end — from problem understanding, architecture, experimentation, model/pipeline development, deployment, observability, and continuous improvement. The ideal candidate should be comfortable working across application engineering, ML engineering, LLM systems, APIs, infrastructure, and production-grade AI platform components Key Responsibilities GenAI Application Engineering Design and build production-ready GenAI applications using LLMs, SLMs, RAG, agents, tool-calling, workflow orchestration, and prompt engineering AI Gateway & AI Platform Engineering Contribute to the design and implementation of AI platform capabilities that enable safe, governed, and scalable use of AI models Voice AI Engineering Design and implement Voice AI systems involving speech-to-text, text-to-speech, speech translation, voice agents, and real-time conversational AI. LLM Fine-Tuning & Model Training Work on fine-tuning and training workflows for LLMs, SLMs, and task-specific ML models ML Pipelines & MLOps Design and maintain scalable ML pipelines for data preparation, training, evaluation, deployment, monitoring, and retraining Job Requirements Skills Required: Strong C, C++ and Python programming skills Hands-on GenAI/LLM application development Understanding of ML training and evaluation workflows Ability to build APIs and backend services Understanding of scalable system design Experience with at least one ML/LLM framework Ability to work with data pipelines and model pipelines Fine-tuning frameworks such as PEFT, LoRA, QLoRA, TRL, or Unslot Workflow orchestration using Airflow, Prefect, Kubeflow, Dagster, or similar tools Containerization using Docker Practical understanding of deployment, observability, and production readiness 3 to 4 years of hands-on experience in AI/ML, GenAI, or ML engineering Strong practical exposure to building AI/ML systems, not just theoretical knowledge Accessibility Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance, please state in your application or contact your recruiter. Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.