AI Engineer
Tasks
- Apply IAM and API security best practices
- Build reusable microservices and middleware
- Build secure API layers for AI services
- Deploy AI models using CI/CD pipelines
- Deploy applications using CI/CD pipelines
- Design scalable AWS architectures
- Develop RESTful APIs
- Develop event-driven APIs
- Implement OAuth2 JWT authorization
- Implement RAG architecture
- Integrate generative AI and LLMs
- Use Terraform or CloudFormation for infrastructure
- Use vector databases for retrieval
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | API Gateway | API Security | AWS API | AWS API Gateway | AWS Identity | AWS Identity and Access Management | AWS Lambda | Access Management | Amazon ECS | Amazon EKS | Amazon Web Services | CI/CD | CloudFormation | Docker | Event Driven | Event-driven architecture | Generative AI | Identity and Access Management | JSON Web Token | Java | Kubernetes | Lambda Function | Language Models | Large Language Models | Microservices | NoSQL Databases | Node.js | OAuth 2.0 | Python | RAG | REST APIs | SQL | Terraform | Vector Databases | Web Services
Education
N/A
Roles
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