AWS AI Engineer
Tasks
- Architect cloud-native applications on AWS
- Build Infrastructure as Code with IaC tools
- Build REST APIs and microservices
- Build inference prompt orchestration pipelines
- Deploy AI solutions on AWS
- Deploy serverless and containerized services
- Design Agentic and GenAI solutions
- Design CI/CD pipelines
- Enforce AWS security best practices
- Implement monitoring, logging, and alerting
- Implement responsible AI practices
- Integrate foundation models into applications
- Perform model fine-tuning and evaluation
- Provide production support troubleshooting and tuning
- Support compliance requirements
Perks/Benefits
- Company-Paid Holidays
- Employee assistance programs
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Personal days
- Retirement savings plan
- Sick leave
Skills/Tech-stack
API Gateway | AWS Cloud | AWS Cloud Development Kit | AWS CloudFormation | AWS CodePipeline | AWS Lambda | AWS Step Functions | AWS X-Ray | AWS cloud development | Agile | Amazon API | Amazon API Gateway | Amazon Aurora | Amazon Bedrock | Amazon DynamoDB | Amazon EC2 | Amazon ECS | Amazon EKS | Amazon RDS | Amazon Rekognition | Amazon S3 | Amazon SageMaker | Amazon Textract | Amazon Transcribe | Amazon Translate | Amazon Web Services | Asynchronous processing | CI/CD | Cloud Development Kit | CloudWatch | Docker | GitHub Actions | IAM | KMS | Language Models | Large Language Models | Microservices | OpenSearch | Python | REST API | Step Functions | Terraform | VPC | Web Services | X-Ray
Education
N/A
Roles
AI Engineer | AWS AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer
Regions
Countries
States
Cities
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