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.
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
- Experience with 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
Mavenir Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mavenir and has not been reviewed or approved by Mavenir.
-
Leave & Time Off Breadth — PTO, paid holidays and sick time are consistently part of the package, with parental leave also highlighted. Time off is often regarded as a strong aspect of the offering.
-
Healthcare Strength — Core medical, dental, and vision coverage—along with disability options—are presented as part of a comprehensive program. Wellness and assistance resources further support employee health needs.
-
Wellbeing & Lifestyle Benefits — Employee assistance, wellness initiatives, recognition programs, learning via Mavenir University, and volunteer PTO (MAVcares) expand support beyond core insurance. These extras are positioned as meaningful add-ons to the overall package.
Mavenir Insights
What We Do
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 focused on 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.
