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. We embrace disruptive, innovative technology architectures and business models that drive service agility, flexibility, and velocity. With solutions that propel NFV evolution to achieve web-scale economics, Mavenir offers solutions to help CSPs with cost reduction, revenue generation, and revenue protection. We have strong values and are always looking for like-minded individuals to join us in the path to change the shape of our industry. United: One Company; One team; One Unified Vision Passionate: Big thinkers with audacious ideas and solutions Honorable: Integrity, respect and commitment is in our DNA. Fearless: Courageous, bold, determined and challengers of the ‘norm’. PLEASE NOTE: Mavenir will only communicate with you about your application through an “@Mavenir.com” or “mavenir@myworkday.com” email address. Further, our site (including recruiting information) is only available at the “mavenir.com” and myworkdayjobs.com domains. Criminals may attempt to impersonate Mavenir or recruiting companies online. Please remember that Mavenir will never request that you wire funds or otherwise send money to us or any third party as part of your employment application. Please use caution and care when sending information online, and do not send us any sensitive personal information, such as Social Security numbers, through the Internet. If you have any question about your application or a communication from us, please do not hesitate to reach out to us at +1-469-916-4393 or email careers@mavenir.com.

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