AI Nexus Innovations Hub
Website:
nexusinno.com
Company:
https://www.linkedin.com/company/ainexushubofficial
Seniority: Entry level
Industries: Software Development
Job details:
We're Hiring: AI Engineer to Build Clinical AI for the Future of Healthcare
This isn't just another entry-level role – it's your launchpad into applied AI, working on a real Hospital Management System where your models help doctors make faster, sharper decisions for real patients.
Why This Role is Different
At AI Nexus Innovations Hub, you won't just learn – you'll ship production-grade clinical AI from Day 1. Document intelligence, LLMs, medical imaging, and predictive analytics – all inside a live HMS product built for the Indian healthcare market.
Role Details
Position: AI Engineer (Healthcare AI)
Location: Nagarabhavi, Bangalore (On-site)
Type: Full-time
Experience: 0 – 2 years
⚡ Joining: Immediate joiners strongly preferred
About Us
AI Nexus Innovations Hub is a Bengaluru-based deep-tech startup building AI-native platforms. Medorbit.ai is our AI-powered Hospital Management System (HMS) designed for Indian hospitals and clinics – and we're embedding clinical decision-support AI directly into the doctor's workflow.
What You'll Build
1️⃣ AI Lab Report Intelligence
→ Build a pipeline that reads a patient's last lab reports (PDF – digital and scanned) and extracts test values, reference ranges, and trends
→ Generate a concise, doctor-ready summary so the doctor doesn't have to review every past report during consultation
→ Build predictive summaries: highlight trends, deteriorating markers, cross-parameter correlations, and early-risk indicators that are easy to miss when reading reports one at a time
→ Generate AI-assisted consultation suggestions – points the doctor can discuss with the patient, follow-up tests to consider, and what to watch for next
→ Surface what the eye can miss: subtle out-of-range drift, patterns across multiple reports, and correlations across test panels
2️⃣ AI-Assisted X-Ray Analysis
→ Train and fine-tune deep learning models on chest and other X-ray datasets to detect abnormalities and predict likely conditions
→ Build a "second pair of eyes" for doctors – flag regions of interest and findings a doctor might overlook, with confidence scores and explainability (e.g. Grad-CAM heatmaps)
→ Integrate the imaging model into the HMS so results appear directly inside the doctor's consultation view
3️⃣ Platform & Integration
→ Work with LLMs, prompt engineering, RAG & AI agents to build intelligent clinical workflows
→ Integrate AI models into the HMS via REST APIs and build data pipelines for training and inference
→ Design outputs that are safe, explainable, and clearly presented as decision support – the doctor always makes the final call
→ Collaborate directly with the founding team on architecture & product decisions
→ Own features end-to-end with real impact (yes, even as a fresher)
What You Bring
Must-Have:
→ B.Tech / B.E. / M.Tech / M.S. in Computer Science, AI/ML, Data Science, Biomedical Engineering, or related field
→ Strong fundamentals in Python and at least one ML framework (PyTorch, TensorFlow, or scikit-learn)
→ Understanding of ML concepts: supervised/unsupervised learning, neural networks (CNNs), NLP basics
→ Familiarity with Generative AI, LLMs, or prompt engineering
→ Interest in healthcare AI and building tools that doctors actually use
→ Solid problem-solving skills and a builder's mindset
→ Excellent communication skills
→ Self-starter mentality – comfortable in a fast-paced startup environment
Nice-to-Have (Bonus Points!):
→ Projects in medical imaging (chest X-ray classification, segmentation) or document AI (PDF parsing, OCR)
→ Exposure to LangChain, Hugging Face, OpenAI/Anthropic APIs, vector databases
→ Experience with OCR / document extraction tools (Tesseract, Azure/AWS Document AI, LayoutLM)
→ Familiarity with public medical datasets (NIH ChestX-ray14, CheXpert, MIMIC-CXR)
→ Knowledge of healthcare data standards (FHIR, HL7, DICOM) or ABDM
→ Knowledge of Java, Scala, or Apache Spark (big data ecosystem)
→ Cloud platforms (AWS preferred)
→ Docker, Git, CI/CD pipelines
→ HealthTech or SaaS product experience
Why Join AI Nexus?
✅ Skip the corporate queue: Work on production clinical AI from Day 1, not training modules
✅ Direct mentorship from an industry veteran with 15+ years in enterprise software & AI
✅ High ownership & impact – your models assist real doctors and real patients
✅ Modern AI tech stack, flexible environment
✅ Fast-track career growth in a high-potential startup
✅ Build products that improve healthcare delivery across India
📩 Ready to Launch Your AI Career in Healthcare?
Send your resume to: raju@thenexushub.ai
Website: https://www.ainexushub.ai/
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Don't just graduate. Build intelligent systems. Transform healthcare. Grow exponentially.
Click on Apply to know more.
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