This role is C2H and will likely convert to FTE by Spring 2026. Please do not apply unless you can convert to FTE.
This is a hybrid position based in Hartford, CT. Must be onsite in Hartford for interviews.
Position Summary
Our client is seeking a skilled and innovative Prompt Engineer to join their AI development team. This role focuses on crafting and optimizing prompts for a conversational AI chatbot that supports healthcare members and providers in accessing accurate, timely information.
Key Responsibilities
- Develop and iterate on prompt strategies for LLM-based agents
- Ensure prompts are contextually accurate, domain-specific, and aligned with end user (member or provider) needs.
- Collaborate with healthcare SMEs, developers, and product teams to build effective conversational flows.
- Analyze chatbot performance and iterate on prompt strategies using user feedback and analytics.
- Maintain prompt libraries and documentation for healthcare use cases (e.g., benefits, claims, coverage).
- Ensure compliance with HIPAA and other healthcare data privacy regulations.
- Work closely with designers, engineers, and data scientists to align prompt design with conversational flows
- Conduct A / B testing and usability studies to enhance chatbot interactions.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Linguistics, AI / ML, or related field.2+ years of experience in working with LLMs, prompt engineering and tuning techniquesExperience with IBM Watsonx or Google Dialogflow / Vertex AI.Strong understanding of healthcare terminology and workflows.Proficiency in Python and version control systems (e.g., Git).Excellent communication and analytical skills.Preferred Qualifications & Programming Languages
Experience with agentic AI architectures and multi-agent orchestration.Knowledge of retrieval-augmented generation (RAG) and vector databases.Experience in healthcare provider or payer environments.Familiarity with regulatory frameworks (HIPAA, HITECH).Experience with chatbot analytics and UX testing tools.Python – for scripting, data analysis, and integration with AI platforms.JavaScript / TypeScript – for chatbot front-end and middleware development.Node.js – for backend services and API integration.Java – especially for IBM Watson integrations.Go or Kotlin – for scalable microservices (optional but beneficial).Education
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience required.