Full Stack Developer - AI products
Main Tasks
Develop React microfrontend applications using TypeScript, Vite, and Module Federation architecture
Build Python backend services using FastAPI with AWS Lambda for serverless deployment
Integrate LLM-based features (Azure OpenAI, Gemini, Bedrock) into production applications with quality and cost optimization
Design and implement authentication flows using Okta, JWT, and OAuth 2.0
Create AWS infrastructure using CDK (Python) including Lambda, S3, API Gateway, and CloudFront
Build dashboards for data visualization and ML model interfaces
Implement CI/CD pipelines in Azure DevOps with automated testing and multi-environment deployments
Develop MCP (Model Context Protocol) servers for AI tool integration
Collaborate with product stakeholders to define and prioritize requirements
Document and communicate technical solutions clearly to non-technical stakeholders
Job Qualification
Degree in Computer Science, Software Engineering, or equivalent
Minimum 3 years of professional experience in Full Stack Development with focus on AI Products
Experience in production-grade web applications (not research-focused)
Proven experience with React and Python in production environments
Ability to independently prioritize and implement requirements
Willingness to participate in in-person meetings with local team members
Hard Skills (must have)
Frontend Development: React, Module Federation and TypeScript
Backend Development: Python, FastAPI, RESTful API
Cloud & Infrastructure (AWS):AWS CDK, Lambda, S3, CloudFront, Fargate, VPC
Authentication & Security: Okta, JWT, OAuth 2.0
DevOps & CI/CD: Azure DevOps, Docker, Git
Data & Integration: SQL, ETL processes
- Department
- Data Science & Machine Learning
- Role
- Data Science & Machine Learning
- Locations
- Ho Chi Minh City
- Remote status
- Hybrid
- Employment type
- Full-time
Ho Chi Minh City
About TecAlliance
Helping our customers to sell more parts & make things easier with our data and solutions based on our globally leading data standards