5G and SDN infrastructure with emerging LLM application development
Argela is a telecom infrastructure vendor with deep roots in 5G, SDN, and RAN technologies—but their tech stack reveals an aggressive pivot toward AI. They're running Python, TensorFlow, PyTorch, and multiple LLM frameworks (GPT, Claude, LLaMA) alongside vector databases (FAISS, Pinecone) and RAG patterns, suggesting LLM-powered applications is now a primary workstream. Engineering-heavy hiring (7 of 9 open roles) focused on mid-level and senior positions indicates they're scaling delivery teams, not just research.
Argela Technologies designs software and hardware for telecom operators, governments, and defense agencies across Central Asia, the Middle East, Africa, and Turkey. Founded in 2004, the company builds 5G infrastructure, software-defined networks, programmable RAN, network monitoring, small-cell solutions, and signaling applications. Recent project activity shows concurrent work on traditional telco infrastructure (NFV integration, SDN end-to-end solutions, 5G R&D) and new software initiatives (LLM applications, fault detection, SAP system development). The organization operates from Istanbul with hiring across Turkey, the UK, and Poland.
5G R&D, software-defined network solutions, network performance monitoring, LLM-powered applications, fault detection systems, small-cell infrastructure, and SAP system development for telecom and defense operators.
Python, TensorFlow, PyTorch, LLMs (GPT, Claude, LLaMA), FAISS, Pinecone, Kubernetes, Docker, PostgreSQL, Spring Boot, Java, and Prometheus/Grafana for monitoring across Linux and Windows.
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