Lead Assistant Manager

3 years

0 Lacs

Posted:2 months ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

  • Design, develop, and deploy conversational agents using platforms like Google Dialogflow, Amelia, Amazon Lex, etc.
  • Create and optimize NLP/NLU models to support dynamic, multi-turn interactions.
  • Develop dialog flows, intents, entities, and fulfillment logic with API integrations.
  • Integrate bots with external systems (CRM, EHR, contact center, databases) using RESTful APIs.
  • Collaborate with UX designers, business analysts, and stakeholders to define and refine conversation flows.
  • Implement voice interface capabilities (SIP/SBC integration, TTS/STT engines).
  • Conduct testing (unit, regression, UAT) and optimize bot performance using analytics and user feedback.
  • Ensure compliance with data privacy standards (e.g., HIPAA, GDPR) and implement masking/redaction as needed.
  • Document architecture, workflows, and development best practices.

Required Skills and Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 3+ years of experience in Conversational AI development.
  • Proficiency with one or more platforms: Google Dialogflow, Amelia.ai, IBM Watson, Microsoft Bot Framework, Rasa, or similar.
  • Strong understanding of NLU/NLP concepts and tools.
  • Hands-on experience in REST API integration and backend scripting (Node.js, Python, or Java).
  • Familiarity with telephony integrations (SIP, Twilio, Avaya, Genesys) is a plus.
  • Experience with TTS/STT engines like Google Cloud, Nuance, or Amazon Polly.
  • Strong debugging and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications:

  • Certification in any Conversational AI platform (e.g., Dialogflow CX, Amelia Certified Developer).
  • Experience with analytics tools for bot performance monitoring.
  • Exposure to agentic AI design patterns or multi-agent systems.
  • Understanding of AI governance and bias mitigation practices.

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