Senior AI Engineer
Tasks
- Build AI services libraries APIs and background workers
- Build retrieval augmented generation applications
- Create CI CD pipelines for testing security scanning and deployments
- Create document ingestion chunking embedding indexing and retrieval pipelines
- Design secure scalable production AI solutions
- Develop AWS cloud native AI architectures
- Implement AI safeguards prompt injection prevention and authorization controls
- Implement REST APIs webhooks and messaging integrations
- Implement prompt templates and conversation flows
- Integrate AI solutions with enterprise systems
- Mentor engineers through code reviews and knowledge sharing
- Perform model evaluation and human in the loop review
- Set up observability monitoring and operational support for AI
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | API Gateway | AWS Lambda | AWS Secrets | AWS Secrets Manager | AWS Step Functions | Agent workflows | Amazon ECS | Amazon EKS | Amazon EventBridge | Amazon OpenSearch | Amazon OpenSearch Service | Amazon RDS | Amazon S3 | Amazon SNS | Amazon SQS | Authentication | Authorization | CI/CD | Embeddings | Event Driven | Event-driven architecture | Generative AI | Infrastructure as Code | Integration Testing | Language Models | Large Language Models | Message Queues | OAuth 2.0 | Observability | OpenID Connect | OpenSearch Service | Performance Testing | Prompt engineering | Prompt injection | Python | REST APIs | Regression testing | Retrieval-Augmented Generation | Secrets Manager | Security Scanning | Step Functions | Terraform | Unit Testing | Vector Search | “as-code”
Education
N/A
Roles
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