Leads customer implementations of LLM and generative-AI systems from architecture through production, building full-stack solutions and improving model quality.
About this role
This role sits in the Operations Systems team within the Network Systems Development organization and focuses on applying the Large Telecom Model (LTM), generative AI, and machine learning to internal telecommunications operations. The engineer works with operational departments to identify hidden issues, design use cases, and reshape workflows around AI-enabled systems.
The work covers planning, requirements definition, architecture, development, and improvement of internal systems. Responsibilities include designing systems that combine APIs, databases, web applications, authentication and authorization, and logs; collecting and structuring operational data; preparing training datasets; and developing AI agents and RAG solutions. The role also includes prototyping and evaluating frontend, backend, and AI-agent components, then moving effective solutions into production.
Applicants need experience eliciting issues from business users and translating them into use cases, requirements, or workflows. They must understand the fundamentals of web systems, APIs, and databases and be able to carry out prototyping or small-scale development. The posting also requires a strong interest in generative AI and the ability to coordinate between operational, software development, and AI research teams.
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