Location: LB Nagar, Hyderabad, India

Employment Type: Full-Time (2pm - 9pm, 6 Days a Week)

Role Type: Clinical + Product Development Support

Department: AI-Assisted Smart Clinic

About the Department/Project

We are developing an AI-assisted clinic platform designed to support doctors and clinic staff across the complete patient journey—from reception and appointment management through clinical assessment, laboratory/bio-marker interpretation, diagnosis support, treatment planning, follow-up, and patient-related tasks.

The objective is not to replace the doctor. The platform is intended to help doctors make better-informed decisions, reduce administrative workload, standardize clinical workflows, and improve continuity of patient care.

As this is an early-stage POC, the selected doctor will play a critical role in both operating the clinic and shaping the AI software that will eventually support clinics at scale.

Position Summary

We are looking for a qualified, tech-savvy General Physician who is enthusiastic about combining clinical medicine with technology and AI.

The ideal candidate will work as a practicing General Physician while also serving as a Clinical Product Lead / Clinical AI Advisor for the project.

You will help us understand how doctors actually work, identify where AI can safely and effectively assist them, define clinical workflows, review AI-generated outputs, test prototypes, and translate clinical requirements into software features.

This is an opportunity for a doctor who wants to participate in building the next generation of AI-assisted primary-care clinics in India.

Key Responsibilities

- Setup Clinic

- Assit/Establish clinic with support from Mgmt with 100% compliance to local regulations/compliances.
- Help the Mgmt team to fullfill all the day-to-day activities till Clinic establishment is complete.

- Clinical Practice

- Conduct patient consultations as a General Physician.
- Take medical history and perform appropriate clinical examinations.
- Assess symptoms and develop differential diagnoses.
- Review laboratory investigations, bio-markers, imaging reports, and other available clinical information.
- Develop appropriate treatment and management plans.
- Provide patient education and lifestyle guidance where appropriate.
- Monitor patient progress and conduct follow-up consultations.
- Identify cases requiring referral to specialists, emergency care, or additional investigation.
- Maintain appropriate clinical documentation and patient records.
- Practice in accordance with applicable Indian medical laws, professional standards, and ethical requirements.

2. AI-Assisted Clinical Workflow The doctor will actively use and evaluate the AI system during the POC, including:
- AI-assisted patient intake and history collection.
- AI-generated summaries of patient information.
- AI-assisted clinical decision support.
- AI-assisted analysis and interpretation of laboratory/bio-marker reports.
- AI-supported differential diagnosis generation.
- AI-assisted treatment-plan preparation.
- Patient follow-up and monitoring.
- Appointment and task tracking.
- Identification of missing clinical information or recommended investigations.
- Patient communication and reminders where appropriate.

The doctor will review, validate, correct, and approve AI-generated clinical information before it is used for patient care.

- Clinical Validation of AI A major responsibility of this role will be ensuring that the software is clinically useful and safe.

You will





- Review AI-generated clinical outputs for accuracy and relevance.
- Identify clinically incorrect, incomplete, misleading, or potentially unsafe recommendations.
- Define situations where the AI should ask for additional information.
- Identify situations where the AI must defer to the doctor.
- Help establish clinical safety rules and escalation criteria.
- Develop representative clinical scenarios and test cases.
- Evaluate AI performance across common General Practice presentations.
- Provide structured feedback to the technology/product team.
- Help establish clinical acceptance criteria before features are deployed.

4. Shape the AI Clinic Software The successful candidate will be directly involved in designing the product, not simply testing it.

You will work with software engineers, AI/ML specialists, product managers, and UX designers to:

- Map the complete patient journey through the clinic.
- Document how doctors currently conduct consultations.
- Identify repetitive, time-consuming, and error-prone clinical tasks.
- Identify tasks where AI can provide meaningful assistance.
- Define requirements for doctor-facing dashboards.
- Define requirements for patient records and clinical timelines.
- Help design AI-assisted consultation workflows.
- Define how laboratory and bio-marker reports should be presented to doctors.
- Help design treatment-plan and follow-up workflows.
- Define appointment, task, and patient follow-up requirements.
- Review prototypes and provide clinical usability feedback.
- Participate in product demonstrations and sprint reviews.
- Prioritize clinical features based on patient benefit, clinical value, safety, and practicality.

5. Develop Clinical Knowledge & Workflows The doctor will help create the clinical foundation of the platform, including:
- Standard clinical workflows for common primary-care conditions.
- Clinical data requirements for patient assessment.
- Structured history-taking templates.
- Examination and observation workflows.
- Laboratory/bio-marker interpretation frameworks.
- Clinical red flags and escalation pathways.
- Referral criteria.
- Follow-up protocols.
- Treatment-plan templates.
- Patient education workflows.
- Clinical documentation standards.

Where appropriate, these workflows will be converted into structured rules, prompts, datasets, and product specifications for the AI system.
- Laboratory & Bio-Marker Intelligence The doctor will play an important role in developing the platform's laboratory-analysis capabilities.

Responsibilities may include

- Reviewing common laboratory investigations used in Indian primary care.
- Helping define clinically meaningful reference ranges and contextual interpretation.
- Identifying clinically significant patterns across multiple biomarkers.
- Reviewing AI-generated laboratory summaries.
- Helping the product team distinguish between isolated abnormal values and clinically meaningful combinations of findings.
- Defining when laboratory findings should trigger further evaluation, repeat testing, referral, or urgent attention.
- Helping design patient-friendly explanations of laboratory results.

7.



Continuous Product Improvement The doctor will participate in an iterative Clinical → AI → Doctor → Feedback → Product Improvement cycle.

This includes

- Reporting problems encountered during real-world use.
- Suggesting improvements to workflows and interfaces.
- Reviewing new AI capabilities.
- Participating in user acceptance testing.
- Helping measure clinical usefulness and workflow efficiency.
- Tracking recurring AI errors and failure modes.
- Contributing to product roadmap discussions.
- Helping determine which clinical tasks should and should not be automated.

Ideal Candidate ProfileRequired
- MBBS degree from a recognized medical institution in India.
- Valid registration with the appropriate State Medical Council / National Medical Commission framework, as applicable.
- Experience in General Medicine / General Practice / Primary Care.
- Strong clinical reasoning and patient-management skills.
- Good communication skills in English.
- Comfortable working with computers, digital medical records, and software applications.
- Willingness to work closely with a technology/product development team.
- Strong interest in AI, healthcare technology, or digital health.
- Willingness to learn and experiment with new technology.

Highly Preferred
- MD/DNB in General Medicine or relevant postgraduate qualification.
- Experience working with EMR/EHR or digital healthcare systems.
- Familiarity with AI/LLMs, clinical decision-support systems, or healthcare technology.
- Experience with telemedicine or digital health platforms.
- Interest or experience in healthcare product development.
- Ability to translate clinical requirements into clear software requirements.
- Experience participating in clinical research, quality improvement, or healthcare innovation projects.
- Strong analytical and problem-solving abilities.
- Comfortable working in an early-stage / startup / POC environment.

Key Collaboration The doctor will work closely with:
- Product Manager / Product Lead
- AI/ML Engineers
- Software Engineers
- UI/UX Designers
- Data/Analytics Team
- Clinical/Medical Advisors
- Clinic Operations Team
- Other healthcare professionals as required

Success Metrics

Success in this role will be measured not only by clinical performance but also by contribution to the POC, including:

- Quality and safety of patient care.
- Accuracy and usefulness of AI-assisted outputs.
- Reduction in unnecessary administrative workload.
- Improvement in consultation workflow efficiency.
- Quality of laboratory/bio-marker interpretation support.
- Completeness and quality of clinical documentation.
- Patient follow-up adherence.
- Doctor usability and satisfaction with the platform.
- Identification and resolution of AI failure modes.
- Quality of clinical requirements and product feedback.
- Successful validation of AI-assisted clinic workflows.

Compensation

Competitive full-time compensation, commensurate with the candidate's clinical qualifications, experience, and level of involvement in the AI product development program.

Additional incentives/ESOP or project-based incentives may be considered for candidates taking a significant role in the long-term development of the platform.

Application

Candidates should submit

- Updated CV.
- Medical qualifications and registration details.
- Details of clinical experience.
- Brief description of experience with technology/digital healthcare, if applicable.
- A short note describing how they believe AI can improve the workflow of a General Physician without compromising clinical judgment or patient safety.

📌 AI Clinic General Physician & India Medical Officer (Hyderabad)
🏢 Earth On Sky
📍 Hyderabad