AI Engineer - Generative AI, AI Platform & Voice AI

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
Plans, designs, develops and tests software systems or applications for software enhancements and new products including cloud-based or internet-related tools.
Key Responsibilities
Generative AI application development
LLMs, SLMs, RAG, agents, tool-calling, and prompt engineering
AI gateway or AI platform concepts
LLM fine-tuning and evaluation
ML model training and ML pipelines
Python-based backend development
FastAPI, REST APIs, microservices, and async processing
Vector databases such as Milvus, FAISS, Qdrant, Weaviate, or Pinecone
ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or Scikit-learn
Fine-tuning frameworks such as PEFT, LoRA, QLoRA, TRL, or Unsloth
Workflow orchestration using Airflow, Prefect, Kubeflow, Dagster, or similar tools
Containerization using Docker
Kubernetes-based deployment experience
Observability using logs, metrics, traces, dashboards, and alerts
Strong understanding of scalable system design
Good software engineering fundamentals, clean coding, testing, and documentation
Job Requirements
Design, develop, and deploy AI solutions across Generative AI, AI Platforms, Voice AI, LLM Fine-Tuning, and MLOps.
Build production-grade applications using LLMs, RAG, Agents, and Prompt Engineering.
Develop scalable APIs, backend services, and AI/ML pipelines.
Contribute to AI platform development, performance optimization, and production deployments.
Must-Have Skills
Strong programming skills in C, C++ and Python.
Strong understanding of scalable system design.
Hands-on experience with GenAI, LLMs, RAG, Agents, and Prompt Engineering.
Experience building APIs, backend systems, and microservices.
Knowledge of ML training, evaluation, and MLOps workflows.
Experience with PyTorch, TensorFlow, Hugging Face, or similar frameworks.
Familiarity with Docker, Kubernetes, Vector Databases, and cloud-native environments.
Preferred Qualifications
Bachelor's or master's degree in computer science, AI, ML, Data Science, or a related field.
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.

Work arrangement
No