AWS AI Engineer
Tasks
- Architect cloud-native solutions on AWS
- Build AI pipelines for inference prompt orchestration fine tuning evaluation
- Design CI/CD pipelines
- Design agentic and generative AI solutions
- Enforce AWS security best practices
- Implement infrastructure-as-code
- Implement monitoring, logging, and alerting
- Implement responsible AI practices
- Integrate foundation models into applications
- Optimize performance availability and cost
- Perform performance tuning
- Provide production support and troubleshooting
- Support compliance requirements
Perks/Benefits
- Company-Paid Holidays
- Employee assistance programs
- Life and disability insurance
- Medical, dental, and vision insurance
- Paid time off
- Personal days
- Retirement savings plan
- Sick leave
Skills/Tech-stack
API Gateway | AWS | AWS CDK | AWS CodePipeline | AWS KMS | AWS Lambda | AWS Step Functions | AWS X-Ray | 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 | Asynchronous processing | CI/CD | CloudFormation | CloudWatch | Design Patterns | Docker | Encryption | GitHub Actions | IAM | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Microservices | Model Governance | OpenSearch | Prompt engineering | Python | REST APIs | Resilience | Scalability | Software Design | Software Design Patterns | Step Functions | Terraform | VPC | X-Ray | “as-code”
Education
N/A
Roles
AI Engineer | AWS AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer
Regions
Countries
States
Cities
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