Full Stack Engineer

Work Schedule Other Environmental Conditions Office Job Description

Summarized Purpose: We are looking for a Mid-Level Full Stack AI Engineer to build production-ready AI web applications using React/Next.js, TypeScript, Python, FastAPI, LLM APIs, RAG pipelines, vector databases, enterprise integrations, and AWS cloud deployment.

Education/Experience: Bachelor's degree or equivalent in Computer Science, Information Technology, or related field

3-6 years of experience in full stack application development with exposure to AI/LLM-enabled application features

Major Job Responsibilities: Develop responsive frontend application components using React/Next.js and TypeScript

Build backend APIs and microservices using Python, FastAPI, and REST-based service patterns

Integrate LLM APIs such as OpenAI or similar providers into business workflows and user experiences

Implement RAG workflows, embeddings, vector database search, and tool/function calling under architectural guidance

Collaborate with product, design, QA, DevOps, and senior engineers using GitHub workflows, JIRA, and Agile delivery practices

Knowledge, Skills, and Abilities: Strong hands-on experience with React/Next.js, TypeScript, HTML, CSS, and component-based frontend development

Experience with Python, FastAPI, REST APIs, microservices, SQL databases, and AWS cloud services

Working knowledge of LLM APIs, prompt integration, RAG pipelines, embeddings, vector databases, and tool/function calling

Familiarity with enterprise integration patterns, authentication, authorization, API security, CI/CD, GitHub, and JIRA

Strong problem-solving, collaboration, debugging, and communication skills

Must Have Skills: React/Next.js and TypeScript frontend development

Python, FastAPI, REST API, and microservices development

LLM API integration, RAG, vector databases, embeddings, and tool/function calling experience

AWS cloud deployment, enterprise integrations, GitHub, JIRA, and Agile delivery experience

Good to Have Skills: Experience using component libraries and adopting enterprise design systems

Exposure to event-driven architecture, message queues, serverless services, or containerized deployments

Knowledge of AI application security, data privacy, observability, performance tuning, and cost-conscious implementation

Working Hours: India: 05:30 PM to 02:30 AM IST

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