Back
Remote hiring plus broad fullstack+GenAI requirements increase candidate pool despite senior-level specificity.
Role requires specialized GenAI, LLM, and enterprise architecture experience, limiting cross-industry transferability.
Strict technical and seniority filters (11+ years, Python, React, GenAI, cloud, security) enforce rigid shortlisting.
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, RAG pipelines, and AI workflow orchestration.
Lead technical discovery, solutioning, and engineering standards for GenAI platform components shared across teams.
11+ years total experience with 10+ years in software engineering.
Strong depth in Python and modern frontend frameworks, specifically React.
Proven experience architecting and delivering production-grade Generative AI applications with LLM integration, RAG systems, and AI-driven UX.
Experience with cloud platforms (AWS, Azure, or GCP), distributed systems, and knowledge of security, privacy, and governance for enterprise AI.
Experienced in translating ambiguous business problems into durable, scalable technical architectures across backend, frontend, and AI layers.
Skilled at influencing technical strategy and architecture across multiple teams or pods, with stakeholder communication at senior levels.
Comfortable leading complex GenAI workflow design and platformisation efforts involving reusable components and AI-native UX patterns.