General Physician / Medical Officer & Clinical AI Lead

Earth On Sky is hiring: General Physician / Medical Officer & Clinical AI Lead

\n

Location: Onsite – LB Nagar, Hyderabad

\n

Working Hours: 2:00 PM–9:00 PM, six days per week

\n

Employment Type: Full-time

\n

Department: AI-Assisted Primary Care Clinic

\n

Earth On Sky is establishing an AI-assisted primary care clinic in Hyderabad using healthcare software developed by our product and engineering team.

\n

We are looking for a qualified, technology-oriented General Physician / Medical Officer who will provide patient care, help establish and operate the clinic, and work closely with our team to improve the clinical safety and usefulness of our AI-assisted clinic platform.

\n

The technology is designed to support—not replace—the doctor. Every AI-generated summary, differential diagnosis, laboratory interpretation, care-plan suggestion, or follow-up recommendation must be independently reviewed and approved by the treating physician.

What you will do\n

Patient care and clinic operations

\n

\n
• Conduct outpatient consultations for common acute and chronic health conditions.
\n
• Obtain medical histories and perform appropriate physical examinations.
\n
• Develop differential diagnoses, order and interpret investigations, and create treatment plans.
\n
• Manage common conditions such as diabetes, hypertension, respiratory illness, fever, infections, gastrointestinal complaints, thyroid disorders and preventive-care needs.
\n
• Recognize red flags and arrange timely emergency escalation or specialist referral.
\n
• Counsel patients on medications, lifestyle, preventive care and follow-up.
\n
• Maintain complete, accurate and timely electronic clinical records.
\n
• Help management establish and operate the clinic in accordance with applicable regulatory, ethical and patient-safety requirements.
\n
• Support clinical SOPs, infection-control practices, referral relationships and emergency-response processes.
\n

\n

Clinical AI and product development

\n

\n
• Use the Earth On Sky clinic platform during consultations and structured testing.
\n
• Review, validate and correct AI-generated histories, summaries, alerts, differentials and care-plan suggestions.
\n
• Identify unsafe, incomplete, biased or clinically misleading AI outputs.
\n
• Define circumstances in which the software must obtain more information, display a warning, escalate urgently or defer entirely to the doctor.
\n
• Develop clinical workflows, red-flag rules, structured templates and representative test cases.
\n
• Review laboratory and biomarker interpretation features.
\n
• Translate clinical requirements into clear guidance for product, engineering, AI/ML and UI/UX teams.
\n
• Participate in prototype reviews, user-acceptance testing and product demonstrations.
\n
• Track recurring AI errors and contribute to clinical acceptance criteria and product improvements.
\n
• Help ensure that patient data used for software testing is appropriately consented, protected and de-identified where required.
\n

Required qualifications\n

\n
• MBBS from an institution recognized under the applicable Indian medical-education framework.
\n
• Current, verifiable medical registration permitting allopathic practice in Telangana.
\n
• At least 2–3 years of independent outpatient, primary-care or general-practice experience preferred.
\n
• Strong clinical assessment, differential-diagnosis and patient-management skills.
\n
• Ability to recognize emergencies and make appropriate referral decisions.
\n
• Comfortable using computers, electronic medical records and digital healthcare applications.
\n
• Good written and spoken English.
\n
• Ability to communicate with patients in Telugu and/or Hindi strongly preferred.
\n
• Willingness to work onsite during the stated hours and collaborate with a multidisciplinary technology team.
\n
• Commitment to patient consent, privacy, documentation, professional ethics and evidence-based care.
\n
• Willingness to remain personally accountable for clinical decisions and independently verify all AI-generated suggestions.
\n

Preferred qualifications\n

\n
• MD/DNB in General Medicine, Family Medicine or another relevant postgraduate qualification.
\n
• Experience in an outpatient clinic, hospital casualty, family-practice or preventive-health setting.
\n
• Current BLS certification; ACLS certification is an advantage.
\n
• Experience with EMR/EHR platforms, telemedicine or digital-health systems.
\n
• Exposure to clinical decision support, healthcare AI, LLMs or medical-software validation.
\n
• Experience in clinical research, quality improvement, healthcare product development or SOP creation.
\n
• Ability to write structured clinical workflows, test cases and acceptance criteria.
\n
• Professional indemnity insurance or willingness to obtain it.
\n

What success looks like\n

\n
• Safe, ethical and patient-centered clinical care.
\n
• Complete and accurate clinical documentation.
\n
• Effective triage, referral and follow-up.
\n
• Clinically useful and appropriately constrained AI workflows.
\n
• Timely identification of unsafe AI outputs and failure modes.
\n
• Measurable improvement in physician workflow and continuity of care.
\n
• Clear clinical requirements that the software team can implement and test.
\n

Compensation\n

Competitive full-time compensation based on qualifications and experience. Performance incentives, project-based incentives and potential long-term ESOP participation may be considered for candidates who make a significant contribution to the clinical AI program.

How to apply\n

Please send:

\n

\n
• Your current CV.
\n
• MBBS/PG qualification details.
\n
• Medical registration number and registering council.
\n
• Summary of outpatient or primary-care experience.
\n
• Experience with EMR, telemedicine, digital health or AI, if any.
\n
• A short response—maximum 200 words—to:
\n

\n

"How can AI improve a General Physician's workflow without compromising clinical judgment or patient safety?"