Implementation Engineer
4 weeks ago
We are seeking a highly skilled and experienced Solution Engineer for our Conversational AI Product. The ideal candidate will design and implement Omni-channel AI chatbots using low-code/no-code orchestration platforms, ensuring a seamless, consistent experience across all digital touchpoints.
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.
- Collaboration and Stakeholder Management: Work closely with banking domain experts to understand detailed banking processes, compliance requirements, and customer service protocols.
- Testing and Optimization: Conduct rigorous testing of chatbot conversations and workflows to identify and rectify any issues.
- Documentation and Training: Create comprehensive documentation on chatbot design, architecture, and operational procedures.
We are looking for a candidate with:
- Deep understanding of Bot/Conversational AI/Contact Center orchestration platforms.
- 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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