AI Chatbot Prompt Engineer (NO C2C)

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 techniques
• Experience 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.