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.