Saviance
Job Title: Prompt Engineer -- - Healthcare Voice Agent
Location: Remote
Duration: Part time Contract
About BigRio BigRio is a Boston-headquartered technology consulting firm specializing in AI/ML, data engineering, and custom software solutions with a strong focus on healthcare and regulated industries. We partner with healthcare providers, call centers, and enterprises to deliver cutting-edge, AI-driven solutions that improve patient experiences and streamline operations.
Role Overview We are seeking a
Prompt Engineer for a Healthcare Voice Agent
with strong expertise in designing and optimizing AI-driven conversational systems for healthcare providers and call centers. The ideal candidate will have hands-on experience working with Large Language Models (LLMs), conversational AI, and telephony/IVR platforms. This role will focus on building, fine-tuning, and scaling voice agent prompts that ensure accurate, natural, and compliant patient and customer interactions.
Key Responsibilities
Design, test, and optimize prompts for AI-powered voice agents to improve call center workflows and patient experience. Collaborate with healthcare provider stakeholders to understand clinical, administrative, and compliance requirements (HIPAA, PHI, etc.). 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). 3-5+ years of experience in
prompt engineering, conversational AI, or voice agent development . 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
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 .
About BigRio BigRio is a Boston-headquartered technology consulting firm specializing in AI/ML, data engineering, and custom software solutions with a strong focus on healthcare and regulated industries. We partner with healthcare providers, call centers, and enterprises to deliver cutting-edge, AI-driven solutions that improve patient experiences and streamline operations.
Role Overview We are seeking a
Prompt Engineer for a Healthcare Voice Agent
with strong expertise in designing and optimizing AI-driven conversational systems for healthcare providers and call centers. The ideal candidate will have hands-on experience working with Large Language Models (LLMs), conversational AI, and telephony/IVR platforms. This role will focus on building, fine-tuning, and scaling voice agent prompts that ensure accurate, natural, and compliant patient and customer interactions.
Key Responsibilities
Design, test, and optimize prompts for AI-powered voice agents to improve call center workflows and patient experience. Collaborate with healthcare provider stakeholders to understand clinical, administrative, and compliance requirements (HIPAA, PHI, etc.). 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). 3-5+ years of experience in
prompt engineering, conversational AI, or voice agent development . 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
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 .