Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong global brand, metro location, and broad senior AI/platform skillset drive high competition.
Role requires specialized LLM, MLOps, and network-ops domain experience, so background fit is highly sensitive.
Explicit 8+ years requirement plus mandatory Python, LLM, and MLOps expertise makes filters highly strict.
Lead design and development of network operations intelligence tools incorporating AI and automation to enhance network observability and management globally.
Own end-to-end delivery of network tooling services including telemetry, topology, configuration management, and AI-augmented operations with scalable APIs and microservices.
Collaborate with cross-functional stakeholders to implement generative AI, LLM-based platforms, and agentic AI systems for autonomous network operations and intelligent diagnostics.
8+ years experience as a software engineer with demonstrated expertise in Python platform development and LLM/AI applied engineering.
Strong experience in backend frameworks (FastAPI, Flask, Django), RESTful API design, and microservices architecture with containerization (Docker).
Proficiency with relational databases and ORMs (PostgreSQL, MySQL, SQLite, SQLAlchemy, Django ORM), and CI/CD tooling (GitHub workflows, Jenkins).
Work Experience Required: 8+ years in software engineering roles with applied AI/LLM systems development.
Experienced in architecting AI-driven, agentic autonomous systems integrating network monitoring data and large-scale telemetry for operations intelligence.
Capable of driving architectural decisions, mentoring engineers in best practices around software engineering and LLM implementation at production scale.
Comfortable working in a global, complex technology transformation environment bridging network domain expertise with advanced AI and cloud-native software development.