Ideal Candidate Profile
Must have
1–2 years of software development experience at a product company, startup or technology services company, with exposure
to a real development workflow — version control, code reviews, testing and deployments.
Strong computer science fundamentals: data structures and algorithms, object-oriented programming, databases, and
operating systems and networking basics.
Proficiency in Java or Python.
Hands-on use of AI coding assistants and agents (e.g., Claude Code, Cursor, GitHub Copilot) in day-to-day development —
writing effective prompts, breaking tasks down for an agent, and rigorously reviewing and testing what it produces.
A clear understanding of the project you currently work on — its design, the components used, and the reasons behind those
choices.
Strong problem-solving skills, and the ability to explain your thinking clearly while solving a problem.
Good written and verbal communication.
A builder's mindset: excited to build from the ground up, comfortable with ambiguity, and keen to take ownership.
A product mindset — curiosity about how hospitals work, and care for the outcome for the user, not just the ticket.
Depth over frequent switches — we value engineers who have stayed long enough in a role to learn from it.
Good to have
Hands-on experience with Spring Boot or FastAPI.
Exposure to Redis, Kafka, or other caching and messaging systems.
Familiarity with Docker, CI/CD pipelines and cloud platforms such as AWS.
Internships, open-source contributions, or side projects that have been used by real users.
Personal or internship projects that use LLM APIs or build simple agents.
Competitive programming experience.
Exposure to frontend development (React).
Education
B.Tech / B.E. in Computer Science, IT or a related field from a top-tier institution (IITs, IIITs, NITs, BITS or equivalent).
Interview Process
Problem solving and coding — solve a data structures and algorithms problem and write working code.
Low-level design — class design, API contracts and data models for a given problem.
Project deep dive — walk
