Implementation Engineer

4 weeks ago

Bengaluru, Karnataka, India Zeta Services Inc. Full time
About the Role

Zeta Services Inc. is seeking a highly skilled and experienced Solution Engineer to join our Conversational AI team. As a key member of our team, you will be responsible for designing and implementing Omni-channel AI chatbots using low-code/no-code platforms such as Yellow, Kore, Rasa, etc.

Your role will focus on translating complex banking intents into effective conversational flows and actions, optimizing user interactions with minimal coding requirements. Your expertise will drive the development of innovative, user-friendly Conversational AI experiences.

Key Responsibilities
  • Design and Implement: Lead the design and development of Omni-channel (voice and chat) AI chatbots using low-code/no-code platforms such as Yellow, Kore, Rasa, etc.
  • LLM Response Optimization: Develop and optimize prompts for various chatbot flows against OpenI and other opensource LLMs.
  • Scripting: Writing small functions in Python / JS for function calling within conversational AI flows.
  • Platform Mastery and Utilization: Become an expert in the features and capabilities of the chosen low-code/no-code orchestration platforms, leveraging their full potential to build sophisticated conversational AI solutions.
  • Collaboration and Stakeholder Management: Work closely with banking domain experts to understand detailed banking processes, compliance requirements, and customer service protocols, ensuring the chatbot accurately reflects and adheres to these standards.
  • Testing and Optimization: Conduct rigorous testing of chatbot conversations and workflows to identify and rectify any issues, ensuring high accuracy and user satisfaction.
  • Documentation and Training: Create comprehensive documentation on chatbot design, architecture, and operational procedures to facilitate knowledge sharing and training.
Requirements
  • Deep understanding of Bot / Conversational AI / Contact Center orchestration platforms such as Yellow, Kore, Rasa, etc.
  • Programming skills in any scripting language desirable.
  • Deep expertise and experience in prompt engineering and LLM Response optimization using relevant techniques.
  • Understanding of Retrieval Augmented Generation and creation of documentation for RAG.
  • Experience in creating data sets for LLM fine tuning.
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Minimum of 2 years focused on building and maintaining Conversational AI flows.
  • Certification in bot development or related technologies preferred.

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