Shape the future of telecommunications by designing and implementing cutting-edge autonomous network solutions. This role focuses on network programmability, cloud-native architectures, and AI-driven operations leveraging advanced frameworks like Vertex AI, LangGraph, and LangChain.

Embrace innovation and contribute to next-generation mobile and fixed networks. We are seeking experts to drive the evolution towards intelligent, self-managing network infrastructures. Join a team dedicated to pushing the boundaries of what's possible in the telecom industry.

Design and deploy closed-loop autonomous network use cases that align with key business objectives. Develop sophisticated AI-powered network solutions utilizing Retrieval-Augmented Generation (RAG), multi-agent systems, and intelligent data pipelines.

Architect cloud-native, self-healing, and self-optimizing network platforms. Build programmable network capabilities through APIs, Software-Defined Networking (SDN), and protocols like NETCONF/RESTCONF and gRPC. Facilitate network automation, orchestration, and seamless integration with OSS/BSS systems. Lead pivotal 5G/6G initiatives, including Open RAN, network slicing, and edge computing, while establishing best practices and standards for autonomous network implementations.

A minimum of 10 years in telecom/network architecture is essential, with at least 2 years specifically focused on autonomous network use cases. Demonstrate strong expertise in network automation using Python, Go, REST APIs, YANG, NETCONF/RESTCONF, and gRPC.

Possess proven experience with self-healing and self-optimizing networks. Showcase hands-on proficiency with RAG frameworks, LangGraph/LangChain, agentic AI, and data optimization techniques. Familiarity with vector databases (e.g., Pinecone, Weaviate), graph databases, semantic search, ETL pipelines, caching, prompt engineering, and LLM optimization is highly valued. Experience in enhancing AI efficiency, reducing inference costs, and optimizing latency is also a key requirement.