Voice AI Engineer – Healthcare RCM(USA) Remote

About Cosentus

Cosentus combines healthcare revenue cycle management expertise with AI-powered automation. Our voice agents support high-volume workflows such as eligibility verification, prior-authorization follow-ups, claim-status checks, scheduling, patient communication, and collections.

We are hiring a Voice AI Engineer to build secure, reliable, and natural voice agents for real-world healthcare operations.

Key Responsibilities

- Design, build, test, and maintain production-grade AI voice agents.
- Develop conversational workflows for payer, provider, and patient interactions.
- Integrate speech-to-text, text-to-speech, LLMs, telephony platforms, and internal APIs.
- Handle interruptions, silence, voicemail, DTMF input, call transfers, retries, and human escalation.
- Connect voice agents with EHR, practice-management, billing, and RCM systems.
- Implement LLM tool calling, workflow orchestration, knowledge retrieval, and response guardrails.
- Protect PHI through secure access controls, encryption, audit logging, and appropriate data-retention practices.
- Build monitoring for call quality, task completion, latency, accuracy, cost, and failure rates.
- Review call transcripts and recordings to identify and correct conversation failures.
- Collaborate with RCM specialists, product managers, compliance teams, and software engineers.
- Document system architecture, workflows, testing standards, and operational procedures.

Required Qualifications
- 2+ years of experience in software engineering, AI engineering, or conversational AI.
- Hands-on experience building voice bots, AI agents, or real-time conversational systems.
- Strong programming experience with Python, TypeScript, or JavaScript.
- Experience integrating LLMs, APIs, webhooks, databases, and external services.




- Understanding of speech-to-text and text-to-speech technologies.
- Experience with telephony concepts such as SIP, call routing, transfers, and DTMF.
- Knowledge of prompt design, tool calling, retrieval, guardrails, and structured outputs.
- Experience deploying and monitoring cloud-based production applications.
- Strong debugging, automated testing, and system-design skills.
- Ability to convert complex business workflows into reliable conversational experiences.

Preferred Qualifications
- Experience with healthcare, medical billing, or revenue cycle management.
- Understanding of HIPAA, PHI protection, and healthcare security requirements.
- Familiarity with EHR and practice-management system integrations.
- Knowledge of HL7, FHIR, X12 healthcare transactions, or payer workflows.
- Experience with platforms such as Twilio, Amazon Connect, Azure Communication Services, or similar technologies.
- Experience evaluating voice agents using automated and human-reviewed quality metrics.
- Understanding of multilingual voice-agent design.

Success Measures
- High task-completion and call-resolution rates.
- Accurate capture and transfer of information into RCM systems.
- Low conversation latency and natural interaction quality.
- Reliable human escalation when automation cannot safely continue.
- Reduced manual work without compromising accuracy, compliance, or patient experience.
- Stable production performance with measurable monitoring and auditability.

What We Value
- Production reliability over demonstrations.
- Security and patient privacy by design.
- Clear communication and strong ownership.
- Measurable improvements based on real call outcomes.
- Close collaboration with healthcare operations teams.
- Cosentus is an equal-prospect employer. Employment decisions are based on qualifications, merit, and business requirements.

📌 Conversational AI Engineer – Voice & RCM Automation(USA) (New Delhi)
🏢 Cosentus
📍 New Delhi