Solutions Architect, Conversational AI & Prompt Engineering

Summary

Join Qventus as a Solutions Architect of Conversational AI & Prompt Engineering and lead the technical design, development, and optimization of AI-driven conversational agents. You will contribute to broader prompt engineering across various use cases, requiring expertise in designing robust conversational flows and implementing intent recognition systems. Collaboration with cross-functional teams is crucial to create and maintain state-of-the-art conversational AI systems. The role involves designing and implementing AI conversational flow logic, technical implementation and development, testing, optimization, and maintenance, and collaboration and documentation. The salary range is $120,000 to $200,000, and Qventus offers various benefits and perks.

Requirements

Have expertise in designing robust conversational flows, implementing intent recognition systems, and structuring chatbot logic into modular and reusable components

Responsibilities

• Design and implement AI conversational flow logic, considering potential disruptions, multiple conversation turns, and alternate conversation paths to ensure interactions are effective and meet user and business goals
• Create and manage dialogue state, entity extraction, and intent recognition models
• Build a scalable and reusable chatbot logic system using a modular design approach
• Be familiar with conversation modeling techniques, including state machines, decision trees, and graph-based models
• Have experience with LLM-based conversational AI, such as GPT, Claude, Gemini, and LLaMA
• Be able to use frameworks like Dialogflow, Rasa, Amazon Lex, Langchain, and others to implement conversational AI solutions
• Integrate chatbots with databases, CRM systems, and enterprise APIs by collaborating with backend developers
• Enhance chatbot capabilities by writing custom scripts, API calls, and system integrations
• Develop and optimize intent classification models, slot-filling mechanisms, and context management strategies
• Improve chatbot intent recognition and response generation through continuous training and tuning
• Optimize accuracy by analyzing user interactions, intent mismatches, and conversational breakdowns
• Develop and execute unit tests, regression tests, and A/B tests to improve chatbot performance
• Implement real-time monitoring, logging, and analytics to track performance and user satisfaction
• Collaborate with product teams to ensure chatbot functionalities align with business goals
• Work with software developers and data scientists to refine language models
• Document conversational logic, decision trees, and workflow diagrams for scalability and maintenance

Preferred Qualifications

• Have experience with conversational AI voice systems
• Have a strong understanding of vector databases, embeddings, and retrieval-based chatbot models
• Have hands-on experience with embeddings, vector search, and RAG (Retrieval Augmented Generation)
• Have an understanding of knowledge graphs and their application in chatbot workflows
• Have experience using machine learning techniques for intent recognition and dialogue management
• Have previous work with chatbot solutions in healthcare

Benefits

• Open Paid Time Off
• Paid parental leave
• Professional development
• Wellness
• Technology stipends
• Generous employee referral bonus
• Employee stock option awards