L #2794
Applications open
Full-Time Job
AI Software Developer - NPHIES Integration
Aviara Labs
About the role
We're Hiring | AI Software Developer - NPHIES Integration
Location: Noida | Work from Office
Working Hours: 10:00 AM to 7:00 PM
Working Days: Monday to Saturday (Alternate Saturdays Off)
We are looking for an experienced Software Developer to join our healthcare technology team at Aviara Labs, who will be working on our newest offering in healthcare. This is opportunity to work on a Cutting Edge Health Care AI Platform
The ideal candidate must have hands-on experience with NPHIES integration (Saudi Arabia) and a strong understanding of healthcare operations and Revenue Cycle Management (RCM) workflows.
Key Responsibilities
- Develop, implement, and maintain NPHIES integrations.
- Work on healthcare interoperability, API integrations, and data exchange.
- Build and support RCM workflows, including eligibility verification, pre-authorizations, claims submission, payment reconciliation, and denials.
- Troubleshoot integration issues and ensure reliable data exchange between healthcare systems.
Tech Stack
- Python for backend development
- FastAPI for building and maintaining APIs
- Claude Code for AI-assisted development, debugging, and code optimization
- REST APIs, JSON, XML, and healthcare integration protocols
- Git and modern software development workflows
Must-Have Requirements
- Proven, hands-on experience implementing NPHIES integrations.
- Strong understanding of healthcare and RCM workflows.
- Proficiency in Python and FastAPI.
- Experience using Claude Code or similar AI-assisted development tools.
- Experience with healthcare data exchange standards, preferably HL7/FHIR.
- Strong API development, integration, and troubleshooting skills.
- Familiarity with Saudi Arabian healthcare payer-provider workflows.
Important: Practical NPHIES integration experience is mandatory. Candidates without relevant hands-on experience will not be considered.
Interested? Then apply here and we will get back https://binary.so/Em1QaLJ
Eligibility & process
Who can apply
Seniority: Entry level. Employment type: Full-time
Skills & stack
Selection process
Details are shared by the recruiter after shortlisting.
Prep kit
19 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for Aviara Labs and tech roles.
Technical Placement Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
Aviara Labs Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Aviara Labs and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, FastAPI, REST APIs, Git, Machine Learning, PyTorch, TensorFlow, LLMs) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Aviara Labs Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 4
What is the bias-variance tradeoff and how do you prevent overfitting? Answer
Model answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer
Model answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer
Model answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer
Model answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Behavioural & HR questions 3
Why do you want to join Aviara Labs as a AI Software Developer - NPHIES Integration?
Highlight Aviara Labs's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight Aviara Labs's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Competitive Package
Noida, India
Seniority: Entry level. Employment type: …
