L #2830
Applications open
Full-Time Job
Software Developer (Python)
AIHealthOps
About the role
Company DescriptionAIHealthOps builds AI agents that help medical practices, clinics, and healthcare organizations spend less time on paperwork. Our agents support administrative workflows across specialties, including patient intake, scheduling, routine inquiries, document processing, eligibility verification, prior authorization, referral coordination, denial appeal preparation, and task tracking.
We configure and test each implementation around the organization’s existing workflows. Staff review sensitive submissions, and qualified healthcare professionals make clinical decisions.
Role DescriptionAs a Software Developer at AIHealthOps, you’ll build secure, reliable Python services and AI-powered workflows for healthcare operations. You’ll work with product and operations teams to turn workflow requirements into software that clinic staff can use.
- Design, build, and maintain Python backend services, REST APIs, and third-party integrations.
- Improve data processing pipelines and troubleshoot production issues.
- Write maintainable, testable code and contribute to automated testing, code reviews, and documentation.
- Help make architecture decisions that improve performance, reliability, and scalability.
Qualifications
- 2+ years of professional software development experience, including hands-on experience building applications in Python.
- Experience with backend development, REST APIs, relational databases, and third-party integrations.
- A foundation in data structures, algorithms, object-oriented programming, and software design.
- Experience with Git and collaborative development workflows.
- Ability to work independently, manage priorities, and communicate clearly with a remote, cross-functional team.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
Nice to Have
- Familiarity with Docker or a cloud platform such as AWS, Google Cloud, or Azure.
- Experience with or interest in healthcare software, health information systems, or workflow automation.
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
20 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 AIHealthOps 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
AIHealthOps Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for AIHealthOps 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, REST APIs, AWS, Azure, GCP, Docker, Git, Data Structures & Algorithms) & 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
AIHealthOps Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
Explain OOP (Object-Oriented Programming) principles with real-world examples in Python. Answer
Model answer: 1. Encapsulation (data hiding via private fields/getters). 2. Abstraction (hiding implementation complexity). 3. Inheritance (code reusability). 4. Polymorphism (method overriding/overloading).
What is the time and space complexity of QuickSort vs MergeSort? Answer
Model answer: QuickSort: Average O(N log N) time, O(log N) space. Worst O(N^2). MergeSort: Guaranteed O(N log N) time, but requires O(N) auxiliary space.
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer
Model answer: Indexes speed up SELECT queries via B-Trees. However, they slow down INSERT, UPDATE, and DELETE operations because indexes must be updated on disk. Avoid on low-cardinality columns (e.g., boolean flags).
What happens under the hood when you enter a URL in a browser? Answer
Model answer: 1. DNS lookup (resolves IP). 2. TCP 3-way handshake (SYN, SYN-ACK, ACK). 3. TLS negotiation for HTTPS. 4. HTTP GET request sent. 5. Server responds with HTML/CSS/JS. 6. Browser renders DOM & CSSOM tree.
What is the difference between REST and GraphQL APIs? Answer
Model answer: REST uses multiple fixed endpoints with possible over/under-fetching. GraphQL uses a single endpoint allowing clients to query exact fields in a single request.
Behavioural & HR questions 3
Why do you want to join AIHealthOps as a Software Developer (Python)?
Highlight AIHealthOps's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight AIHealthOps'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
India (Remote / Multiple), India
Seniority: Entry level. Employment type: …
