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Popular fullstack title, metro location, and broad AI/frontend/backend skillset increase candidate competition.
Requires specialized LLMOps, frontend architecture, and enterprise integration expertise, limiting cross-industry fit.
Mandatory 7+ years and lead-level frontend, backend, and LLM production skills make shortlisting highly strict.
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Design and lead frontend architecture and component library strategy for AI-enabled web applications using React/Next.js and TypeScript.
Develop and deliver end-to-end AI web applications, integrating Python APIs, FastAPI services, and enterprise systems with RAG pipelines and LLMOps.
Lead engineering execution including architecture and code reviews, security, GitHub workflows, JIRA tracking, mentoring, and AWS cloud deployments.
Bachelor's degree in Computer Science, Information Technology, or related field.
7+ years experience in full stack application development with emphasis on frontend architecture and AI/LLM-enabled product delivery.
Strong technical skills in React/Next.js, TypeScript, Python, FastAPI, REST APIs, microservices, event-driven architecture, AWS cloud deployment, PostgreSQL/Aurora RDS.
Experience with LLM APIs (e.g., OpenAI), RAG pipelines, vector databases, tool calling, and enterprise AI integration patterns.
Proven ability to lead architectural decisions balancing frontend, backend, and AI integration tradeoffs.
Experience managing design systems and component libraries at enterprise scale.
Comfortable leading teams through complex technical execution, stakeholder alignment, and security compliance in production AI applications.