Senior AI Engineer (Agents)
Tasks
- Build conversational AI interfaces
- Build production AI pipelines
- Collaborate with Data Scientists to productionize AI models
- Create analytics dashboards for automation metrics
- Design AI ML systems for LLMs and AI Agents
- Implement feedback loops and continuous learning
- Lead AI system integration
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Agents | APIs | Agent Assist | B testing | Chatbots | Continuous Learning | Conversation Flow Management | Conversation flow | Data Processing | Emotion Detection | Entity Extraction | Experimentation Frameworks | Fine Tuning | Flow Management | GDPR | Genesys | Golang | HIPAA | Information Retrieval | Intent Classification | Java | Knowledge Base | Language Models | Language Processing | Language Understanding | Large Language Models | Machine Learning | Model Serving | Natural Language | Natural Language Processing | Natural Language Understanding | PCI | Python | RAG | Real Time | Real-time agent assist | Retrieval-Augmented Generation | Salesforce Service | Salesforce Service Cloud | Sentiment Analysis | Service Cloud | Virtual Assistants | Zendesk
Education
Roles
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