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Metro senior GenAI role, popular AI topic and moderate brand yield medium competition.
Deep LLM, RAG, platformisation and enterprise governance focus demands highly specialized, non-transferable background.
Explicit 9+ years plus mandatory production GenAI, architecture, cloud and governance requirements imply high strictness.
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Own architecture and technical vision for AI-powered applications leveraging Python, React, and Generative AI technologies.
Design scalable backend platforms for LLM inference, RAG pipelines, and AI-driven frontend UX including conversational interfaces and intelligent dashboards.
Lead complex GenAI workflows implementation, establish engineering standards, and drive platformisation of reusable AI components and frameworks.
Total work experience of 9+ years in software engineering.
Strong expertise in Python and experience architecting production-grade Generative AI applications at scale.
Hands-on experience with cloud platforms (AWS, Azure, or GCP) and distributed systems.
Bachelor’s or master’s degree in Computer Science, Information Technology, or related field.
Proven ability to define technical strategy and influence multi-team architecture decisions in AI-focused environments.
Deep understanding of LLM integration patterns, RAG systems, AI UX design, and security/privacy/governance for enterprise AI.
Experience collaborating with product, design, data, and business leaders to translate strategic objectives into scalable technical solutions.