Xsell Resources
AI Chatbot Prompt Engineer (NO C2C) (Hartford)
Xsell Resources, Hartford, Connecticut, United States
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 Bachelors or Masters 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 Bachelors degree in Computer Science, Engineering, or related field, or equivalent experience required.
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 Bachelors or Masters 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 Bachelors degree in Computer Science, Engineering, or related field, or equivalent experience required.