Technical Manager, Healthcare AI

ScribeEMR India Pvt. Ltd. is a healthcare technology and services company supporting US 
healthcare organizations with a comprehensive range of solutions, including medical scribing, 
medical coding, revenue cycle management (RCM), virtual medical office services, and 
healthcare technology and 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, Healthcare AI
2. Work Location: Hebbal Ring Road, Bengaluru
3. Work Timings: Full-time
 

4. Educational Qualifications/Skillsets Required: 
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data 
Science, or a related field.
Certifications in medical coding (CPC, CCS) or AI/ML are a strong plus.
8-12 years of progressive software engineering experience with at least 3–4 years in a 
technical lead or manager capacity.
Hands-on experience building and deploying NLP/NLU models, transformer-based 
architectures, and/or LLM-powered applications in production.
Understanding of US medical coding systems — ICD-10-CM/PCS, CPT, HCPCS preferred
Familiarity with EHR/EMR data formats (HL7, FHIR, CDA)
Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit-learn); 
working knowledge of .NET, ReactJS, or Node.js 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, Elasticsearch) 
databases; experience with vector databases (Pinecone, Weaviate) is a plus.
Proactive, hands on, and self-starter mindset
Excellent verbal and written English with strong client and stakeholder communication 
skills.
Bonus points:
• Experience with Retrieval-Augmented Generation (RAG) architectures for knowledgeintensive medical applications.
Prior work with medical ontologies (SNOMED CT, RxNorm, LOINC) and clinical NLP 
toolkits (cTAKES, MedSpaCy).
Knowledge of revenue cycle management (RCM) workflows, denial management, and 
payer-specific coding rules.
Knowledge of cloud technologies (AWS, Azure, Google Cloud), containers, and 
virtualization.
 

5. Roles and Responsibilities: 
Own Technical Delivery: Architect, build, and ship the AI Medical Coding platform —
including NLP pipelines, LLM-based code suggestion engines, computer-vision modules 
for chart extraction, and real-time coding assistance APIs.
Bridge Clinical & Engineering: Collaborate with medical coding SMEs, clinical analysts, 
and product managers to deeply understand coding guidelines (ICD-10-CM/PCS, CPT, 
HCPCS Level II), payer rules, and compliance requirements, translating them into 
robust software specifications.
Drive AI/ML Strategy: Lead the evaluation, fine-tuning, and deployment of large 
language models and NLP frameworks (spaCy, Hugging Face Transformers, 
OpenAI/Anthropic APIs) for automated code extraction, medical entity recognition, 
and clinical document understanding.
Build Data Pipelines: Design and maintain scalable data ingestion, annotation, training, 
and evaluation pipelines for medical coding models using Python, PySpark, and cloudnative services (AWS SageMaker, Azure ML, or GCP Vertex AI).
Ensure Compliance & Quality: Implement rigorous validation frameworks that 
measure coding accuracy, specificity, and compliance against CMS/AMA guidelines; 
establish automated audit trails and model-performance dashboards.
Drive CI/CD & Architecture: Design cloud-native, microservices-based architecture; 
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 AI/ML techniques, medical coding 
regulation updates, and industry best practices to keep the platform at the cutting 
edge.
 

6. Reporting Hierarchy: VP - AI Products
 

7. Compensation Offered: Best in the industry — commensurate with experience and 
expertise.
 

8. Additional Perks: 
Non-Reimbursable:-
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 [email removed]