Prompt AI Engineer

Job Title: AI Prompt engineer Location: Remote Duration: Longterm Contract Job description details- Position Summary The Aetna IT Delivery organization, part of CVS Health’s Data, Digital, Analytics, Technology (DDAT) division, is seeking a skilled and innovative Prompt Engineer to join our 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.