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Tier-1 brand, mid-level generalist backend title, and metro location drive high applicant competition.
Backend and Python skills are transferable, but GenAI specialization raises domain specificity moderately.
Explicit 5-8 years requirement plus mandated Python/backend stack and GenAI familiarity increases filtering strictness.
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Design, develop, and maintain scalable backend services for GenAI applications including building RESTful/GraphQL APIs and ETL pipelines.
Collaborate with cross-functional teams including UI developers, ML engineers, and product teams to deliver end-to-end GenAI solutions.
Implement unit/integration tests and CI/CD pipelines; optimize applications for performance, security, and scalability across development, staging, and production.
Bachelor's degree in Engineering (B.E/B.Tech) or MCA.
5 to 8 years of relevant work experience in software development.
Strong proficiency in Python 3.x and frameworks like FastAPI, Flask, or Django.
Experience designing RESTful APIs, knowledge of SQL/NoSQL/vector databases, and familiarity with Git, CI/CD, and containerization (Docker).
Experienced backend developer with strong Python skills focused on scalable and secure API development in a microservices environment.
Familiarity with asynchronous programming and event-driven architectures suited for GenAI applications.
Able to integrate closely with ML engineering and product teams to build end-to-end AI-powered solutions in cloud or production environments.