RQ11252 - Sr. AI Engineer
Tasks
- Build conversational IVR solutions
- Configure Amazon Lex bots
- Create virtual assistants and voicebots
- Design and optimize prompts
- Develop AI agents with LLMs
- Develop AI solutions
- Develop Amazon Connect customer AI agents
- Develop bot intents and slots
- Ensure security, privacy, and responsible AI compliance
- Implement RAG retrieval mechanisms
- Implement generative AI and LLM solutions
- Integrate AI solutions with contact center platforms
- Integrate MCP servers and tool calling
- Maintain conversational flows and escalation mechanisms
- Optimize AI contact center solutions
- Perform testing troubleshooting and deployment
- Write technical specifications and documentation
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI Services | AI guardrails | API Gateway | AWS Lambda | Amazon Bedrock | Amazon Connect | Amazon DynamoDB | Amazon Lex | Amazon S3 | Azure AI | Azure AI Foundry | Azure AI Services | Azure OpenAI | CloudWatch | Conversational AI | Conversational flows | EventBridge | Gemini | Generative AI | Google Vertex | Google Vertex AI | IAM | IVR | JavaScript | Language Models | Large Language Models | MCP | Machine Learning | Model Context Protocol | Node.js | Orchestration | Prompt engineering | Python | RAG | Retrieval mechanisms | Retrieval-Augmented Generation | Semantic Search | Tool-Calling | Vector Database | Vertex AI | Voicebot
Education
N/A
Roles
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