Agentic AI Developer
Tasks
- Build document processing pipelines
- Create prompts and agent guardrails
- Deploy AI services to production
- Develop AI agents with AWS Bedrock
- Extract structured data from documents
- Implement service logic with AWS Fargate
- Integrate AI workflows with Microsoft Graph API
- Perform unit and integration testing
- Troubleshoot and optimize agent workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent | AI Agent Frameworks | AI Evaluation | AWS Bedrock | AWS Fargate | AWS Lambda | AWS Textract | Agent Frameworks | Agile | Amazon ECS | Amazon Nova | Amazon SNS | Amazon SQS | Azure Document Intelligence | CI/CD | Docker | Document Intelligence | Document processing | Event Driven | Event-driven architecture | Git | Graph API | Intelligent Document Processing | LLM orchestration | Microservices | Microsoft Graph | Microsoft Graph API | Model Monitoring | OCR | Prompt engineering | Python | RAG | REST API | Retrieval-Augmented Generation | Semantic Search | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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