Full Stack Engineer

Job description

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