Interview Process
L1 - Virtual Interview
L2 - Mandatory Face-to-Face Interview at Hexaware Office
Client Interview - Face-to-Face
Must have skills: Python, FastAPI, Message Queue - RabbitMQ or similiar tools and AI tools - RAG, LLM Architecture
:
5 to 9 years of hands-on experience in Python development.
Solid experience in building REST APIs using FastAPI or similar frameworks. FastAPI is preferred.
Strong experience with Message Queue RabbitMQ is preferred.
Solid experience with ORM frameworks, including SQL Alchemy, and database migration tools such as Alembic.
Experience in writing clean, maintainable, scalable, high-performance code and unit testing.
Deep understanding of Pythons multi-threading, multi-processing, asynchronous programming, and performance optimization techniques.
Hands-on experience in Prompt engineering, vibe coding,
using AI-powered developer tools such as GitHub Copilot, Cursor AI, Claude Code, Windsurf, or similar coding assistants.
Ability to review, validate, and optimize AI-generated code while ensuring maintainability, security, and performance standards.
Experience and knowledge of SDLC and agile framework.
Nice to have skills
Exposure to contemporary engineering platforms such as Harness / Specification-Driven Development (SDD).
Basic understanding of AI/ML concepts and experience integrating AI/LLM-based services into applications.
Familiarity with CI/CD pipelines and DevOps practices.
Experience with Docker and containerized application development.
Experience with Redis or other caching mechanisms.
Familiarity with cloud platforms such as Azure, AWS, or GCP.