Prompt Engineer for AI Voice Agents in Healthcare Provider Systems

Location : Remote India

Employment Type : Full Time

Key Responsibilities :

- Design, 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 others

- Integrate 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.

Qualifications :

- Bachelor'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 Skills :

- Proven 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.