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Senior, niche GenAI principal role reduces competition despite remote role increasing applicant pool.
High domain specificity: requires deep Python, React, GenAI architecture and enterprise AI governance experience.
Many mandatory filters: 11+ years, deep Python, React, GenAI architecture, cloud, security and governance.
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Own 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 agent orchestration, as well as frontend architecture for AI-native applications.
Lead GenAI platform development by establishing standards, reusable components, and SDKs while collaborating with product and business leaders to translate strategy into technical solutions.
Total experience: 11+ years with 10+ years in software engineering focused on Python and modern frontend (React).
Proven experience architecting and delivering production-grade Generative AI applications at scale with deep knowledge of LLM integration, RAG systems, and AI-driven UX design.
Strong system design skills across backend, frontend, and AI infrastructure layers with experience in cloud platforms (AWS, Azure, or GCP) and distributed systems.
Bachelor’s or master’s degree in Computer Science, Information Technology, or related field.
Experienced technical leader capable of defining and influencing technical strategy across multiple teams or pods in AI and fullstack development.
Strategic thinker skilled at translating ambiguous business problems into durable, scalable technical architectures including AI security, privacy, and governance.
Hands-on operator proficient in designing and implementing complex GenAI workflows, and leading technical discovery including client/executive workshops.