Lead Implementation Engineer - Conversational AI
- Zeta
- 4 - 5 years
- Bengaluru
- 1 month ago
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Job Description
We are seeking a highly skilled and experienced Solution Engineers for our Conversational AI Product. The ideal candidate will be at the forefront of designing and implementing Omni-channel AI bots using low-code/no-code orchestration platforms like 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.
Responsibilities
- Design and Implementation:
- LLM Response Optimization
- Scripting
- Platform Mastery and Utilization:
- Collaboration and Stakeholder Management:
- Testing and Optimization:
- Documentation and Training:
- Domain understanding:
- Product Acumen:
- Team Leadership:
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.
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
Writing small functions in Python / JS for function calling within conversational AI flows
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.
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.
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.
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.
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
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.
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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full timeContact Details:
Company: Zeta Inc.Location(s): Bengaluru+ View Contact
Keyskills: Computer science Coding Agile Customer support Customer service Stakeholder management Operations Python Recruitment Core banking
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Zetais in the business of providing a full-stack, cloud-native, API-first neo-banking platform including a digital core and a payment engine for issuance of credit, debit, and prepaid products that enable legacy banks and new-age fintech institutions to launch modern retail and corporate fintech pro...
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