Full Stack AI Engineer
Tasks
- Build AI-native applications
- Build microservices and APIs
- Continuously improve AI systems
- Design secure scalable applications
- Develop agentic workflows
- Ensure data governance, privacy, and security compliance
- Identify solutions for remediation and long term strategy
- Implement CI/CD pipelines
- Implement human-in-the-loop patterns
- Integrate large language models into products
- Manage model drift retraining and rollback
- Monitor model performance
- Operate AI native platforms
- Troubleshoot systems and data issues
- Use event driven processes
- Use middleware in enterprise systems
Perks/Benefits
Skills/Tech-stack
APIs | AWS Lambda | Amazon Bedrock | Amazon DynamoDB | Amazon S3 | Amazon SageMaker | Amazon Web Services | CI/CD | Data Governance | Event Driven | Event-driven architecture | FastAPI | JSON | Java | JavaScript | Langchain | Llamaindex | Microservices | Model Monitoring | NoSQL | Node.js | Privacy | PyTorch | Python | REST APIs | React | SDLC | SQL | Salesforce | Security | TensorFlow | Version control | Web Services | XML
Education
Roles
AI | AI Engineer | Engineer | Full Stack | Full Stack Engineer | Learning Engineer | Machine Learning Engineer | Stack Engineer
Regions
Countries
States
Cities
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