Senior AI Engineer
Tasks
- Apply secure software development practices
- Build cloud native AI solutions on AWS
- Build generative AI solutions with large language models
- Configure observability with Datadog
- Deploy production ready AI applications
- Design secure APIs and microservices
- Implement infrastructure as code with Terraform
- Implement retrieval augmented generation and intelligent search
- Lead design and development of enterprise AI solutions
- Mentor engineers through code reviews and guidance
- Participate in architecture reviews and production deployments
- Set up CI/CD pipelines for testing and deployment
- Use security tools to remediate vulnerabilities
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Agents | API Gateway | AWS Lambda | Amazon API | Amazon API Gateway | Amazon Bedrock | Amazon ECS | Amazon EKS | Amazon RDS | Amazon S3 | Application Security | Automated testing | CI/CD | Cloud Native | Cloud Native Architecture | Datadog | Dependency Security Scanning | Dependency management | Dependency security | Distributed Systems | Docker | EventBridge | Generative AI | Infrastructure as Code | Language Models | Large Language Models | Logging | Metrics | Microservices | OAuth 2.0 | Observability | OpenID Connect | Python | REST APIs | Retrieval-Augmented Generation | SNS | SQS | Security Scanning | Snyk | Source Control | Step Functions | Terraform | Tracing | Wiz | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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