Lead Implementation Engineer - Conversational AI

Responsibilities

• Design and Implementation: 
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., ensuring a seamless, consistent experience across all digital touch points.
Translate complex banking intents into effective and intuitive conversational flows and actions, optimizing the chatbot for ease of use and minimal manual intervention.


• LLM Response Optimization
Develop and optimize prompts for various chatbot flows against OpenI and other opensource LLMs
Develop documentation needed for Retrieval Augmented Generation for various intents
Create data sets for LLM fine tuning for intent recognition and conversation


• 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.
Stay updated with the latest updates and features of these platforms to continuously improve and enhance chatbot functionalities.


• 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.
Collaborate with cross-functional teams, including UX/UI designers, project managers, and product managers, to ensure cohesive and secure implementation of chatbot solutions.


• Testing and Optimization:
Conduct rigorous testing of chatbot conversations and workflows to identify and rectify any issues, ensuring high accuracy and user satisfaction.
Continuously analyze chatbot interactions to identify trends, bottlenecks, and areas for improvement, optimizing conversational flows for better user engagement and efficiency.


• Documentation and Training:
Create comprehensive documentation on chatbot design, architecture, and operational procedures to facilitate knowledge sharing and training.
Train and support other team members on utilizing low-code/no-code platforms for chatbot development, fostering a culture of knowledge and skill development within the team.


• Domain understanding:
Understand Zeta’s Tachyon & 360 offering and build in-depth expertise on them
Build a deep understanding of various functionalities provided by the platform and use them in the conversational AI flows


• Product Acumen:
Ability to define the conversational AI flows for the various intents, which encompasses of solving customer issues effectively and with empathy.
Prioritise the intent development basis customer support query data.
• Team Leadership:
Lead a team of solution engineers, providing mentorship, guidance, and technical expertise.Coach and manage a team to deliver using Agile processes and ensure high RoI. Participating actively in recruitment and nurturing of engineers as awesome as you.

Skills Required

• Deep understanding of Bot / Conversational AI / Contact Center orchestration platforms such as Yellow, Kore, Rasa, etc
• Programming skills inany 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

Experience and Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Minimum of 4 years focused on building and maintaining Conversational AI flows
• Certification in bot development or related technologies preferred