ScribeEMR Systems Private Limited
Website:
scribeemr.in
Job details:
Leader in Virtual Medical Office Solutions
ScribeEMR India Pvt. Ltd. is a healthcare technology and services company supporting U.S.
healthcare organizations with a comprehensive range of solutions, including medical scribing,
medical coding, revenue cycle management (RCM), virtual medical office services, and
healthcare-related software development.
Building on our extensive experience in healthcare operations and clinical workflows, we are
developing a new generation of AI-powered healthcare products focused on clinical
documentation, medical coding, revenue cycle workflows, and patient and provider support—
combining artificial intelligence with human expertise to improve accuracy, efficiency, and
scalability.
Our sales and implementation office in Boston, USA, works closely with customers to
understand their needs, manage solution deployment, and provide ongoing engagement, while
our Bengaluru office in India brings together healthcare professionals, technology specialists,
and AI/software engineers to develop and deliver innovative solutions for the U.S. healthcare
market.
1. Official Name of the Designation: Technical Manager – US healthcare AI Voice Agents
2. Work Location: Hebbal Ring Road, Bengaluru
3. Work Timings: Full-time (Onsite)
4. Educational Qualifications/Skillsets Required:
⚫ Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related
field.
⚫ 8–12 years of progressive software engineering experience with at least 4–6 years in a
technical lead or manager capacity.
⚫ Hands-on experience building and deploying voice/conversational AI systems, speechto-text (STT), text-to-speech (TTS), and dialogue management platforms in production.
⚫ Strong understanding of LLM-powered conversational agents, prompt engineering,
function calling, and agentic workflows (LangChain, LlamaIndex, Semantic Kernel).
⚫ Familiarity with U.S. healthcare workflows — patient scheduling, insurance verification,
prior authorization, prescription refills, appointment reminders, and revenue cycle
processes.
⚫ Experience with telephony and voice infrastructure — SIP, VoIP, WebRTC, Twilio,
Amazon Connect, or Genesys; real-time audio streaming and low-latency voice
pipelines.
⚫ Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow); working
knowledge of Node.js, ReactJS, or .NET for full-stack integration.
⚫ Experience with AWS, Azure, or GCP; containerization (Docker, Kubernetes); CI/CD
tooling; and infrastructure-as-code (Terraform, CloudFormation).
⚫ Proficiency in relational (PostgreSQL, SQL Server) and NoSQL (MongoDB, Redis,
Elasticsearch) databases; experience with vector databases (Pinecone, Weaviate) is a
plus.
⚫ Proactive, self-starter mindset; excellent verbal and written English; strong client and
stakeholder communication skills.
5. Roles and Responsibilities:
⚫ Own Voice Agent Platform: Architect, build, and ship the AI Voice Agent platform for
healthcare — including real-time speech recognition pipelines, LLM-powered dialogue
engines, text-to-speech synthesis, and telephony integration layers.
⚫ Bridge Healthcare & Engineering: Collaborate with clinical operations teams, medical
office staff, and product managers to deeply understand healthcare voice workflows —
patient intake calls, appointment scheduling, insurance eligibility checks, prescription
refill requests, and post-visit follow-ups — translating them into intelligent voice agent
capabilities.
⚫ Drive Conversational AI Strategy: Lead the evaluation, fine-tuning, and deployment of
LLMs and NLU frameworks for multi-turn healthcare dialogues; design intent
recognition, entity extraction, slot filling, and context management for clinical
conversations.
⚫ Build Speech & Audio Pipelines: Design and maintain scalable, low-latency speech
processing pipelines — ASR (Whisper, Deepgram, Google Speech), TTS (ElevenLabs,
Amazon Polly, Azure Speech), noise cancellation, speaker diarization, and real-time
audio streaming using WebSockets.
⚫ Ensure Compliance & Quality: Implement rigorous testing frameworks for voice agent
accuracy, conversation completion rates, and patient satisfaction; ensure HIPAA
compliance for voice data handling, PHI redaction, call recording, and consent
management.
⚫ Telephony & Integration: Design and manage integrations with telephony platforms
(Twilio, Amazon Connect, SIP trunks), EHR/EMR systems (HL7, FHIR), practice
management software, and CRM tools to enable seamless end-to-end voice workflows.
⚫ Drive CI/CD & Architecture: Design cloud-native, event-driven microservices
architecture for voice workloads; build and manage CI/CD pipelines (GitHub Actions,
Jenkins), containerized deployments (Docker, Kubernetes), and infrastructure-as-code.
⚫ Lead & Mentor Teams: Manage and grow multiple engineering pods; set goals,
conduct code reviews, run sprint ceremonies, identify skill gaps, and proactively
communicate status and blockers to leadership.
⚫ Stay Current: Continuously evaluate emerging voice AI technologies, real-time speech
models, conversational AI frameworks, and healthcare regulatory updates to keep the
platform at the cutting edge.
6. Reporting Hierarchy: Vice President, AI Products
7. Compensation Offered: Best in the industry — commensurate with experience and
expertise.
8. Non-reimbursable additional Perks:
⚫ Medical insurance of 4 lakhs per annum. Coverage is for self, spouse, and 2 children
under 25 years of age.
⚫ Group Personal Accident Policy coverage for the employee with payment of 5 years’
CTC in case of death of the employee in an accident.
⚫ Complimentary canteen facilities.
How to Apply: Apply through our website https://www.scribeemr.in/
NOTES: Please visit the following website to know more about us https://www.scribeemr.in/ If
you still have any questions, please write to vacancies@scribeemr.in
Click on Apply to know more.
