[Remote] Solutions Architect, Conversational AI & Prompt Engineering

Note: The job is a remote job and is open to candidates in USA. Qventus, Inc is leading the transformation of healthcare by enabling hospitals to focus on patient care through innovative solutions powered by machine learning and generative AI. The Solutions Architect, Conversational AI & Prompt Engineering will design and optimize scalable chatbot systems, collaborating with various teams to deliver high-quality conversational experiences.

Responsibilities

• Design and implement dynamic AI conversation flows that handle multi-turn interactions, interruptions, and alternate pathways.
• Build and manage systems for dialogue state, intent recognition, and entity extraction.
• Architect reusable, scalable chatbot logic using a modular design approach.
• Leverage LLM-based AI (GPT, Claude, Gemini, LLaMA, etc.) to build advanced conversational systems.
• Apply conversation modeling techniques like state machines, decision trees, and graph-based flows.
• Use frameworks such as Dialogflow, Rasa, bolthires Lex, Langchain, or similar tools.
• Collaborate with backend teams to integrate bots with APIs, CRMs, and enterprise systems.
• Enhance bot functionality with custom scripts, API calls, and external system integrations.
• Continuously tune and improve intent recognition and response quality using real user data.
• Monitor and resolve conversation breakdowns, mismatches, and fallback issues.
• Develop and run unit, regression, and A/B tests to ensure conversational performance.
• Implement real-time monitoring, analytics, and logging to drive performance insights.
• Partner with product teams to align conversational UX with user and business goals.
• Work closely with software engineers and data scientists to refine LLM integration and behavior.
• Document conversation logic, prompt structures, and decision workflows for scalability and maintainability. Skills
• Deep technical expertise in prompt engineering, LLM integration, and conversational design.
• Strong system thinking and collaboration skills.
• Design and implement dynamic AI conversation flows that handle multi-turn interactions, interruptions, and alternate pathways.
• Build and manage systems for dialogue state, intent recognition, and entity extraction.
• Architect reusable, scalable chatbot logic using a modular design approach.
• Leverage LLM-based AI (GPT, Claude, Gemini, LLaMA, etc.) to build advanced conversational systems.
• Apply conversation modeling techniques like state machines, decision trees, and graph-based flows.
• Use frameworks such as Dialogflow, Rasa, bolthires Lex, Langchain, or similar tools.
• Collaborate with backend teams to integrate bots with APIs, CRMs, and enterprise systems.
• Enhance bot functionality with custom scripts, API calls, and external system integrations.
• Continuously tune and improve intent recognition and response quality using real user data.
• Monitor and resolve conversation breakdowns, mismatches, and fallback issues.
• Develop and run unit, regression, and A/B tests to ensure conversational performance.
• Implement real-time monitoring, analytics, and logging to drive performance insights.
• Partner with product teams to align conversational UX with user and business goals.
• Work closely with software engineers and data scientists to refine LLM integration and behavior.
• Document conversation logic, prompt structures, and decision workflows for scalability and maintainability.
• Experience with voice-enabled conversational AI systems.
• Knowledge of vector databases, embeddings, and RAG (Retrieval Augmented Generation).
• Experience applying knowledge graphs in chatbot workflows.
• Familiarity with ML techniques for intent classification and dialog management.
• Prior experience building chatbots in healthcare or other regulated industries.

Benefits

• Open Paid Time Off
• Paid parental leave
• Professional development
• Wellness and technology stipends
• A generous employee referral bonus
• Employee stock option awards Company Overview
• Qventus uses AI to intelligently automate operations across care settings and help health systems achieve the margins needed to achieve their mission of delivering exceptional care to their communities. It was founded in 2012, and is headquartered in Mountain View, California, USA, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship
• Qventus, Inc has a track record of offering H1B sponsorships, with 1 in 2024, 1 in 2023, 4 in 2021. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply tot his job

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