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documentation analytics nlp ai nlu📋 Description
- Lead development, optimization, and ongoing management of conversational AI agents.
- Own end-to-end lifecycle of AI agents: prompt engineering, design, testing, deployment.
- Drive improvements in agent performance through KPI analysis and conversation analytics.
- Partner with cross-functional teams to identify automation opportunities and reduce contact volume.
- Develop and maintain documentation for AI agent workflows and processes.
- Monitor and troubleshoot AI agent behavior across flows, escalating issues as needed.
🎯 Requirements
- 3-5 years experience in conversational AI, knowledge management, or related roles.
- Hands-on experience with conversational AI platforms and understanding of NLU/NLP concepts.
- Proficiency in conversation design, including intent mapping, utterance training, and fallback strategies.
- Strong analytical skills to interpret logs, dashboards, and customer feedback.
- Excellent written communication and ability to craft clear bot responses.
- Proven ability to collaborate cross-functionally and translate requirements into solutions.
🎁 Benefits
- A fast-paced and collaborative environment.
- Learning and development allowance.
- Competitive compensation and opportunity for advancement.
- 100% medical, dental and vision coverage.
- Unlimited PTO policy.
- Monthly wellness stipend, home office stipend.
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