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MedOrbit, an AI-Native Hospital Platform, is hiring a Backend Engineer to build Java/Spring Boot microservices across patient registration, appointments, billing, and inventory. You will design REST APIs and multi-tenant schemas to support 24 facility types without forking the codebase.
Work on ABDM, FHIR HL7, and DICOM integrations, plus AI service adoption, with tests and compliance tooling. On-site in Nagarabhavi, Bangalore; 1–4 years’ experience; BTech/BE/MTech/MCA required.
We're Hiring: Backend Engineer (HMS) – MedOrbit, an AI-Native Hospital Platform
This isn't a "maintain a CRUD app" role. MedOrbit is already live with paying hospitals, runs the full clinical and operational spine of a hospital, and has 11 AI agents in production under clinician control. You'll build the backend that doctors, nurses, lab technicians, pharmacists and billing teams use every day.
Location: Nagarabhavi, Bangalore (On-site, 5 days a week)
Type: Full-time
Experience: 1–4 years
MedOrbit (by AI Nexus Innovations Hub) is a multi-tenant hospital management platform built for Indian healthcare. One codebase serves 24 facility types, from a solo doctor's clinic to a 500-bed super-specialty hospital, pathology labs, imaging centres, dialysis chains, blood banks and retail pharmacies.
Build and extend Java / Spring Boot microservices across patient registration, appointments, OPD/IPD workflows, bed management, lab orders, pharmacy inventory, billing and insurance claims
Design REST APIs and database schemas that work across 24 facility types without forking the codebase
mplement module licensing and multi-tenant data isolation so each hospital sees only what it has licensed
Work on ABDM flows: ABHA creation/linking, consent management, HIP/HIU data exchange
Build and maintain FHIR R4 resources, HL7 messages from lab analysers, and DICOM integration with PACS
Support NHCX claim submission and TPA workflows
Integrate Python-based AI services (ambient scribe, lab report intelligence, X-ray analysis, claim-denial guard) into the core platform
Build the APIs, queues and audit trails that let AI outputs appear inside doctor workflows, with clinician approval recorded every time
Write unit and integration tests, review code, and fix production issues quickly
Build audit logs, role-based access control, consent tracking and data-erasure features for DPDP and NABH compliance
Optimise queries and APIs for hospitals with high daily patient volumes
B.Tech / B.E. / M.Tech / MCA in Computer Science or related field (2024–2026 batches welcome)
Hands-on experience building an HMS, EHR/EMR, LIS, RIS, pharmacy or clinic management system. Be ready to walk us through the modules you built, the database design, and the problems you solved
Strong fundamentals in Java and Spring Boot
Good understanding of REST APIs, SQL, joins, indexing and data modelling
Working knowledge of Git, Docker and Linux
Clear communication – you'll work with doctors and hospital staff, not just engineers
Exposure to FHIR, HL7, DICOM, ABDM, LOINC or ICD codes
Microservices architecture, Kafka / RabbitMQ, Redis caching
AWS (EC2, S3, RDS, Lambda) and CI/CD pipelines
Experience with insurance/TPA billing or GST-compliant invoicing
Basic Python or experience integrating ML/LLM services
Frontend exposure (React / Angular) for full-stack debugging
Small team, short decision path, direct access to the founders. Specifications are written down and taken seriously. We ship continuously to a live production platform, and features are validated with real hospital users, not in a conference room.
Build a live HMS used by real hospitals from Day 1
Work on India's healthcare digital stack: ABDM, FHIR, NHCX
See how AI agents are built into a production hospital platform
Fast-track career growth in a high-potential health-tech startup
https://www.ainexushub.ai/ | https://medorbit.ai
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