AI Backend Engineer (Hospital Management Systems)

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: 1–4 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: raju@thenexushub.ai

🌐 https://www.ainexushub.ai/ | https://medorbit.ai

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