Job Title

Prompt Engineer for AI Voice Agents in Healthcare Provider Systems Location: Remote IndiaEmployment Type: FullTimeKey ResponsibilitiesDesign, test, and optimize prompts for AI-powered voice agents to improve call center workflows and patient experience.Inbound and outbound use cases for appointments scheduling and rescheduling, prescription refills, password resets, Patient surveys, Billing and several othersIntegrate conversational AI with call center systems (e.g., SIP, IVR, telephony, EHR/EMR).Monitor performance of deployed prompts and voice agents, leveraging analytics to enhance accuracy, tone, and efficiency.Develop reusable prompt frameworks tailored for healthcare and patient support scenarios (e.g., appointment scheduling, triage, billing inquiries).Work closely with engineers, data scientists, and product teams to refine LLM behavior in real-time call environments.Ensure compliance with privacy, data security, and healthcare regulations.Provide ongoing enhancements and training for AI agents to handle edge cases, escalate appropriately, and improve overall call outcomes.QualificationsBachelor’s degree in Computer Science, Computational Linguistics, AI/ML, or related field (Master’s preferred).Direct healthcare provider experience — you understand hospital and clinic workflows, patient communication, and provider-side requirements.3–5+ years of experience in prompt engineering, conversational AI, or voice agent/call support development with real-world use cases.Hands-on experience with LLMs (OpenAI, Anthropic, Azure OpenAI, etc.), NLP frameworks, and voice AI platforms.Familiarity with call center technologies (SIP, IVR, Voice Telephony, Dialogflow, Amazon Connect, Genesys, or similar).Strong background in healthcare provider environments, including HIPAA compliance and EHR/EMR integrations.Experience with scripting languages (Python, JavaScript) and API integrations.Excellent communication skills with the ability to collaborate with both technical and non-technical teams.Preferred SkillsProven track record working in a hospital, clinic, or provider setting.Prior experience designing conversational flows for patient scheduling, insurance verification, or clinical triage.Knowledge of healthcare standards like HL7, FHIR, or Epic/Cerner integrations.Experience in measuring and improving speech recognition accuracy and naturalness of AI responses.Exposure to contact center analytics, sentiment analysis, and call optimization.Demonstrated success in deploying voice agents or call support solutions in healthcare or patient service environments.