Work Schedule

Other

Environmental Conditions

Office

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:

- Solid 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

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