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
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
