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.

Role Details
Position: Backend Engineer (Hospital Management Systems)
Location: Nagarabhavi, Bangalore (On-site, 5 days a week)
Type: Full time
Experience: 0–2 years
Joining: Immediate joiners strongly preferred
Mandatory: Hands-on experience developing a Hospital Management System (HMS), EHR/EMR, LIS, pharmacy or other healthcare software (job, internship or substantial project)

About MedOrbit
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.

It covers OPD, IPD, OT, Emergency, NICU, maternity, LIS / RIS / PACS, teleradiology, telemedicine, pharmacy, billing, revenue-cycle management and insurance / TPA. It is ABDM-integrated (ABHA, consent, HIP/HIU, FHIR R4), NHCX-connected for claims, HL7 and DICOM interoperable, and supports NABH/NABL evidence and DPDP compliance.

What You'll Do

1️⃣ Core HMS Modules
→ 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
→ Implement module licensing and multi-tenant data isolation so each hospital sees only what it has licensed

2️⃣ Healthcare Integrations
→ 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

3️⃣ AI Integration
→ 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

4️⃣ Reliability & Compliance
→ 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

Tech Stack
Java, Spring Boot, Spring Security, Hibernate/JPA, PostgreSQL / MySQL, Redis, Kafka / RabbitMQ, Python (AI services), Docker, AWS, Git, CI/CD

What You Bring

Must-Have:
→ 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
→ Understanding of hospital workflows: patient registration → consultation → orders → billing → discharge




→ Working knowledge of Git, Docker and Linux
→ Clear communication – you'll work with doctors and hospital staff, not just engineers

Nice-to-Have (Bonus Points!):
→ 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

How We Work
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.

Why Join AI Nexus?
✅ 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

Please Include in Your Application
→ Primary skills:
→ HMS / healthcare software experience (mandatory): modules you built, tech stack, your role; GitHub / demo link:
→ Total experience:
→ Current CTC / Expected CTC:
→ Notice period / How soon can you join?:
→ Current location:
→ Available for an interview this week? Preferred date and time:
→ On-site role, 5 days a week, at our Nagarabhavi office (Map: https://share.google/H9bvX6kY5dka4v7Ob). Can you commute daily? Yes / No

Send your resume to: [email protected]
https://www.ainexushub.ai/ | https://medorbit.ai

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📌 Backend Engineer (Hospital Management Systems) (Vasanthanagar)
🏢 AI Nexus Innovations Hub
📍 Vasanthanagar