Solutions Architect, Conversational AI & Prompt Engineering
Qventus- Full Time
- Junior (1 to 2 years)
Candidates must have a Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent coursework/projects. Familiarity with Python is required, along with experience in LLM prompting through professional or personal use. Additionally, candidates should have exposure to working with databases and building simple RESTful APIs, along with a strong problem-solving mindset and eagerness to learn new technologies.
The Junior AI Prompt Engineer will develop complex prompts in the conversation planning layer to enable agentic model workflows. They will collaborate with Product Managers, Software Engineers, and Clinicians to create fully autonomous clinical conversations. The role involves writing, configuring, and iterating on prompts to create engaging, patient-oriented conversations, as well as using advanced prompting techniques to optimize prompts for language models to improve performance, clinical safety, and patient experience. Furthermore, they will conduct experiments and analyze outcomes of model outputs to refine and iterate on prompt strategies.