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Mid-level Python backend role in Gurgaon with broad skill requirements increases applicant competition.
Backend Python skills are transferable, but LLM and compliance experience increase domain specificity to medium.
Explicit 2–4 years, top-tier degree expectation, and multiple mandatory tech stacks make shortlisting strict.
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Develop, maintain, and improve features for Naehas’ Zenarate Platform using Python and multiple technology stacks, focusing on performance, reliability, and maintainability.
Design and implement microservices and AI-enabled functionalities integrating LLM APIs and Agentic AI components into production systems.
Collaborate in a fast-paced environment supporting all phases of application development, testing, and deployment with CI/CD and containerization technologies.
2–4 years of hands-on experience in Python development including microservices and web frameworks (Flask, FastAPI, Django).
Experience with LLM APIs (OpenAI, Anthropic), prompt engineering, and basic Agentic AI integration.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field from a top-ranked institution.
Familiarity with RESTful & GraphQL APIs, unit/integration testing (pytest or equivalent), Docker, CI/CD pipelines, SQL databases, source control (Git), and basic web security concepts.
Experienced mid-level Python developer with strong expertise in backend microservices and integration of AI features in production environments.
Comfortable working with modern DevOps tools and agile development practices in a dynamic SaaS scale-up context.
Capable of contributing to frontend features with basic React knowledge and keen on building reliable, fault-tolerant distributed systems.