Back
Senior metro GenAI role with specialized LLM skills and known employer yields moderate competition.
Role requires deep GenAI, LLM, prompt engineering and enterprise AI governance, making industry transferability low.
Explicit 9+ years plus mandatory GenAI architecture, cloud, security, and leadership requirements make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the architecture and technical vision for AI-powered user-facing applications using Python, React, and Generative AI.
Design scalable, secure backend platforms for LLM inference, retrieval-augmented generation (RAG) pipelines, and agent orchestration, plus frontend architecture for AI-native interfaces.
Lead complex Generative AI workflow design, establish engineering standards, and drive platformization of reusable AI components across teams.
Total experience: 9+ years in software engineering.
Proven experience architecting and delivering production-grade Generative AI applications at scale.
Strong skills in Python, system design across backend, frontend, and AI infrastructure, and hands-on experience with cloud platforms (AWS, Azure, or GCP).
Bachelor’s or master’s degree in computer science, IT, or related field.
Experienced in defining technical strategy and influencing architecture across multiple teams or pods.
Deep understanding of LLM integration patterns, RAG systems, AI-driven UX design, and enterprise AI security, privacy, and governance.
Capable of translating ambiguous business problems into durable technical architectures and effectively communicating with senior stakeholders and technical leadership.