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