Summarized Purpose: 

We are looking for a Lead Full-Stack AI Engineer with strong frontend expertise to design and deliver production AI web applications end-to-end, including AI UX, React/Next.js experiences, Python APIs, RAG pipelines, enterprise integrations, LLMOps, security, and team leadership. 

Education/Experience: 

• Bachelor's degree or equivalent in Computer Science, Information Technology, or related field 

• 7+ years of experience in full stack application development, frontend architecture, cloud deployment, and AI/LLM-enabled product delivery 

Major Job Responsibilities: 

• Define frontend architecture, component library strategy, and design system adoption across product teams 

• Design and deliver AI-enabled user experiences using React/Next.js, TypeScript, Python APIs, and FastAPI services 

• Guide frontend, backend, and AI integration decisions across RAG, LLM tool calling, vector search, and enterprise systems 

• Build event-driven microservices and integrations across internal platforms, SaaS applications, and AWS cloud services. 

• Hands-on experience with PostgreSQL, RDS and S3. 

• Lead engineering execution through architecture reviews, code reviews, security reviews, GitHub workflows, JIRA delivery tracking, and mentoring 

Knowledge, Skills, and Abilities: 

• Strong expertise in React/Next.js, TypeScript, component-driven UI architecture, component libraries, and design systems 

• Hands-on experience with Python, FastAPI, REST APIs, microservices, event-driven architecture, and AWS cloud deployment 

• Experience with OpenAI or similar LLM APIs, RAG pipelines, embeddings, vector databases, and tool/function calling 

• Knowledge of enterprise integration patterns, authentication, authorization, API security, observability, and LLMOps practices 

• Experience with Aurora PostgreSQL, RDS, and additional relational database platforms. 

• Ability to lead architecture decisions, mentor engineers, align stakeholders, and balance frontend, backend, and AI tradeoffs 

Must Have Skills: 

• Lead-level React/Next.js and TypeScript frontend architecture experience 

• Python, FastAPI, API design, microservices, and event-driven architecture experience 

• Production AI application delivery with LLM APIs, RAG, vector databases, tool calling, and AI UX patterns 

• AWS cloud deployment, enterprise integrations, GitHub, JIRA, security, and technical leadership experience 

Good to Have Skills: 

• Component library ownership and design system governance at enterprise scale 

• LLMOps experience including evaluation, prompt/version management, monitoring, reliability, and cost optimization 

• Knowledge of secure enterprise AI patterns, data privacy, access control, compliance, and production observability 

Working Hours: 

• India: 05:30 PM to 02:30 AM IST 

• Philippines: 08:00 PM to 05:00 AM PHT