About this role
Work Schedule Other Environmental Conditions Office Job Description
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