Full Stack Engineer

Work Schedule

Other

Environmental Conditions

Office

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
  
  

• 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
  
  

• 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
  
  

• 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
  
  

• 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
  
  

• India: 05:30 PM to 02:30 AM IST
• Philippines: 08:00 PM to 05:00 AM PHT