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Industry Insights

HealthTech Jobs in India 2026: Career Guide for Engineers

HealthTech companies, roles, and salaries in India 2026 at Practo, PharmEasy, 1mg, Niramai, Qure.ai, Tricog, and how to enter the field.

Industry Insights24 June 202610 min read read4 sections

India's healthtech sector is at an inflection point comparable to where fintech was in 2016. The Ayushman Bharat Digital Mission (ABDM) is creating the infrastructure for a nationwide digital health ecosystem and driving a wave of engineering demand across every company that touches patient data, hospital workflows, or health commerce. This guide covers the top healthtech employers, the roles in demand, the India-specific technical skills (ABDM, FHIR, medical imaging), and salary benchmarks.

4 sections
  • Health commerce and pharmacy. Practo (Bengaluru: doctor discovery, online consultations, hospital management software, health record management; Rs 20-55 LPA mid-level).
  • PharmEasy / API Holdings (Mumbai. online pharmacy and diagnostics marketplace; Rs 18-50 LPA). 1mg, acquired by Tata Health (Delhi: online pharmacy with Rs 18-50 LPA).
  • Diagnostics and imaging AI. Niramai (Bengaluru: AI-based breast cancer screening using thermography instead of mammography, Series B, Rs 20-55 LPA). Qure.ai (Mumbai: AI radiology reading for TB, pneumonia, COVID, and brain scans; deployed in 80+ countries; Rs 20-60 LPA).
  • Tricog (Bengaluru. AI-based ECG analysis for early cardiac event detection in rural India). Mental health and digital therapeutics: Wysa (Bengaluru: mental health AI chatbot deployed in 95 countries and used by several global insurance companies; Rs 20-50 LPA).
  • Hospital information systems. Athenahealth India (Chennai: engineering for US health record systems used by 160,000+ providers).
  • The skills that differentiate Indian healthtech engineers: ABDM (Ayushman Bharat Digital Mission) APIs: the national health stack includes Health ID (ABHA), Health Locker (patient-controlled health record storage), and Unified Health Interface (UHI, a protocol for discovering and booking healthcare services, analogous to UPI for payments). Engineers who can integrate FHIR APIs with ABDM registries are in high demand at every hospital chain and health platform. FHIR (Fast Healthcare Interoperability Resources): the international standard for health data exchange.
  • Key resource types. Patient, Observation, DiagnosticReport, MedicationRequest, Encounter, ImagingStudy. FHIR R4 is the version used by ABDM. HL7 v2 (an older but still widely used messaging standard for ADT events: patient admissions, discharges, transfers; lab results; orders).
  • Medical imaging engineering. DICOM format (the standard for storing and transmitting medical images from CT, MRI, X-ray, ultrasound; understanding DICOM tags and the DICOM network protocol).
  • ML for medical imaging. PyTorch or TensorFlow CNNs for 2D medical image classification; segmentation models like U-Net for organ and lesion detection.

Healthtech salary benchmarks: junior SWE (0-2 years): Rs 8-20 LPA, lower than fintech's Rs 12-25 LPA but growing. Mid-level (2-5 years): Rs 20-50 LPA. Senior (5-8 years): Rs 45-90 LPA. ai or Niramai: Rs 30-80 LPA mid-senior (comparable to fintech ML roles).

ABDM integration specialists: Rs 20-55 LPA at health platforms building ABDM compliance infrastructure. FHIR-experienced engineers at Athenahealth India or Epic Systems India: Rs 25-65 LPA. The pay gap between healthtech and fintech is narrowing as ABDM compliance creates mandatory engineering demand: every hospital chain, insurance company, and pharmacy must now build ABDM-compliant systems by regulatory requirement, creating urgency-driven hiring at all levels.

in, free), implement a basic Health Information Provider (HIP) and Health Information User (HIU) using the FHIR APIs, and apply this skill to roles at hospital chains (Apollo Hospitals Tech, Fortis Tech), health platforms (Practo, PharmEasy), or ABDM implementation vendors. This specialisation has 3-5x more demand than supply in 2026.

ai, Niramai, or Siemens Healthineers India. (3) General engineering at healthtech companies: standard backend (FastAPI, Go, Java) or mobile (React Native, Flutter for healthcare apps) skills are applicable directly.

Apply via Practo, 1mg, or Wysa's careers pages directly.

Quick answers

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Yes, with more certainty on trajectory than Web3 but slower near-term compensation growth than fintech. The structural drivers are strong: India's healthcare market is $280 billion and growing at 22% annually, digital health penetration is under 5%, and ABDM regulatory compliance is creating mandatory engineering demand across the entire healthcare industry. The ABDM is expected to be as transformative for healthcare as UPI was for payments. Realistic salary progression: Rs 8-50 LPA over 5 years in healthtech vs Rs 15-90 LPA in fintech. The trade-off is working on problems with clear societal impact and entering a domain before it becomes as crowded with senior talent as fintech is today.

Indian AI healthcare leaders: Qure.ai (the most globally deployed Indian healthcare AI company; AI reads chest X-rays and CT scans for TB, COVID, pneumonia, and brain abnormalities; deployed in 90+ countries including partnerships with WHO and several government health ministries). Niramai (AI breast cancer screening using thermography, a radiation-free alternative to mammography, important for India's rural screening programmes). Tricog (AI ECG analysis deployed in rural hospitals to detect cardiac events before patients can reach a cardiologist). Multiple Indian startups building point-of-care ultrasound AI for obstetric screening in rural settings, a space likely to produce the next major Indian AI healthcare company.

No. Most healthtech engineering roles require the same software engineering skills as any product company; the healthcare domain knowledge is learned on the job and through self-study. What helps to learn: basic anatomy of the data (what is a patient record, what is a lab result, what does a radiology report contain), the regulatory context (ABDM compliance requirements, DPDP Act data handling for health data, HIPAA for US-facing products), and the user empathy (your users are often doctors and nurses, not tech-native consumers). Medical domain knowledge for ML engineers is more important: understanding what a radiologist looks for in a chest X-ray improves your model architecture decisions significantly.

ABDM is the Indian government's initiative to build a national digital health ecosystem: a health data highway analogous to UPI for payments. Key components: ABHA (Ayushman Bharat Health Account): a 14-digit health ID for every Indian. Health Locker: patient-controlled consent-based health record sharing. ABDM Health Information Exchange: a standard protocol allowing health records to flow between hospitals, labs, pharmacies, and insurance companies with patient consent. Unified Health Interface (UHI): a discovery and booking protocol for healthcare services. For engineers: every hospital, clinic, lab, pharmacy, and health insurance company in India is being required to integrate with ABDM, creating massive engineering demand for backend developers, API integration specialists, and data engineers across the entire healthcare industry.

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