Member of Technical Staff III - R&D

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

Key Responsibilities

• Design and implement intelligent, autonomous agents capable of reasoning, planning, and taking goal-driven actions.
• Integrate large language models (LLMs) with memory, tool-use, and multi-step planning architectures.
• Develop feedback loops, self-correction mechanisms, and environment-adaptive behaviours for agent systems.
• Research and evaluate state-of-the-art agent frameworks (e.g., AutoGPT, Crewai, Langgraph, ReAct, Agno).
• Optimize agent workflows for reliability, safety, and performance.
• Collaborate with cross-functional teams to design real-world applications of agentic AI in Testing domains.
• Stay updated on the latest research in agentic AI, reinforcement learning, cognitive architectures, and related fields.

Job Requirements

• Strong programming skills in Python (or similar languages).
• Deep understanding of AI/ML concepts, including LLMS, transformers, prompt engineering, and model fine-tuning.
• Experience with frameworks such as LangChain, Hugging Face, Openai API, or similar.
• Knowledge of autonomous agent architectures, multi-agent systems, and planning algorithms.
• Familiarity with reinforcement learning, knowledge graphs, or symbolic reasoning is a plus.

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.