RQ11252 - AI Engineer - Senior
Tasks
- Build AI agents
- Build conversational IVR solutions
- Build virtual assistants
- Build voicebots
- Configure AI solutions
- Configure Amazon Lex bots
- Create deployment procedures
- Create implementation documentation
- Deploy AI solutions
- Design Amazon Lex intents
- Design Amazon Lex slots
- Design and optimize prompts
- Design conversational flows
- Develop AI agent tool calling
- Develop AI solutions
- Develop MCP Server integrations
- Develop technical specifications
- Ensure privacy & compliance
- Ensure responsible AI practices
- Ensure security compliance
- Implement AI guardrails
- Implement AI solutions
- Implement Amazon Lex escalation mechanisms
- Implement Amazon Lex fulfillment logic
- Implement LLM based AI agents
- Implement RAG architectures
- Implement prompt orchestration logic
- Implement prompt templates
- Implement retrieval mechanisms
- Integrate AI solutions with APIs
- Integrate AI solutions with contact center platforms
- Integrate AI solutions with enterprise applications
- Optimize AI solutions
- Provide operational support
- Support AI solutions
- Test AI solutions
- Troubleshoot AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Services | API Gateway | AWS Lambda | Agile | Amazon Bedrock | Amazon Connect | Amazon DynamoDB | Amazon Lex | Amazon S3 | Amazon SageMaker | Artificial Intelligence | Azure AI | Azure AI Foundry | Azure AI Services | Azure OpenAI | CI/CD | CloudWatch | Conversational AI | DevOps | Event Driven | Event-driven architecture | EventBridge | Gemini | Generative AI | Git | GitLab | Google Vertex | Google Vertex AI | IAM | Infrastructure as Code | Integration Testing | JavaScript | Jenkins | Language Models | Large Language Models | Machine Learning | Microservices | NoSQL | Node.js | Performance Testing | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SQL | Semantic Search | Serverless architecture | Unit Testing | Vector Databases | Vertex AI | “as-code”
Education
N/A
Roles
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