Prompt Engineer - AI Voice Agents (Healthcare Provider Systems)

Prompt Engineer - AI Voice Agents (Healthcare Provider Systems)

Location: Remote - India

Employment Type: Full-Time

About BigRio

BigRio is a technology consulting firm headquartered in Boston, MA , specializing in AI/ML solutions, data engineering, cloud platforms, and custom software development . We partner with leading organizations across healthcare, life sciences, biotech, fintech, and enterprise technology to build intelligent, scalable, and data-driven solutions.


Our teams work on cutting-edge initiatives including Generative AI applications, AI-powered voice agents, modern data platforms, and cloud-native architectures . At BigRio, you will collaborate with experienced engineers, architects, and data scientists while delivering innovative solutions that transform how organizations operate.

Role Overview


BigRio is seeking a Prompt Engineer specializing in AI Voice Agents to design and optimize conversational AI experiences for healthcare provider systems. This role will focus on building and improving AI-driven voice assistants that enhance patient communication, automate call center workflows, and improve operational efficiency for healthcare providers .


The ideal candidate will have experience working with large language models (LLMs), conversational AI platforms, and healthcare provider environments , along with a strong understanding of hospital systems, patient engagement workflows, and healthcare compliance requirements .

Key Responsibilities

• Design, test, and optimize prompts for AI-powered voice agents to improve patient experience and healthcare call center workflows.
• Develop conversational flows supporting inbound and outbound patient engagement use cases , including:
• Appointment scheduling and rescheduling
• Prescription refill requests
• Password resets and portal assistance
• Patient surveys and feedback collection
• Billing inquiries and payment assistance
• Additional patient service workflows.
• Integrate conversational AI solutions with healthcare call center platforms and telephony systems such as SIP, IVR, voice telephony platforms, and EHR/EMR systems .
• Monitor and evaluate the performance of deployed AI voice agents and prompt structures , using analytics to improve accuracy, tone, response quality, and resolution rates.
• Build reusable prompt frameworks and conversation design patterns tailored for healthcare and patient service scenarios.
• Collaborate closely with AI engineers, data scientists, software developers, and product teams to refine and improve LLM-driven conversational systems.
• Ensure all solutions adhere to healthcare privacy, security, and regulatory standards , including HIPAA compliance .
• Continuously improve AI agents to manage edge cases, escalation paths, and complex patient interactions while maintaining high-quality patient communication.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Computational Linguistics, Data Science, or a related field (Master's preferred).
• Direct experience working with healthcare provider systems , with strong understanding of hospital operations, clinical workflows, and patient communication processes .
• 3-5+ years of experience in prompt engineering, conversational AI development, or AI-driven voice agent implementation.
• Hands-on experience with large language models (OpenAI, Anthropic, Azure OpenAI, or similar platforms) .
• Experience working with NLP frameworks, conversational AI platforms, and voice AI technologies .
• Familiarity with call center and telephony technologies , including SIP, IVR, Dialogflow, Amazon Connect, Genesys, or similar platforms .
• Experience integrating AI solutions with EHR/EMR systems and healthcare applications .
• Programming experience with Python, JavaScript, or similar scripting languages , including API integrations.
• Strong analytical, problem-solving, and collaboration skills with the ability to work across technical and business teams .

Preferred Skills

• Experience working in hospital systems, healthcare providers, or clinical environments .
• Experience supporting children's hospitals or pediatric healthcare systems is highly preferred , including familiarity with pediatric patient engagement workflows and care delivery processes.
• Prior experience designing conversational flows for patient scheduling, insurance verification, prescription management, or clinical triage workflows .
• Knowledge of healthcare interoperability standards such as HL7, FHIR , and integrations with Epic, Cerner, or similar EHR systems .
• Experience optimizing speech recognition accuracy, natural language understanding, and conversational tone for voice AI systems .
• Exposure to contact center analytics, sentiment analysis, and AI-driven call optimization strategies .
• Demonstrated success deploying AI-powered voice agents or conversational AI systems in healthcare environments .