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Strong Tier-1 brand and metro location increase competition, but niche GenAI senior specialization reduces applicant density.
GenAI and Python engineering skills are highly transferable across industries, so background sensitivity is low.
Explicit 10+ years requirement plus mandatory GenAI/Python expertise and leadership makes shortlisting highly strict.
Lead and manage one or more Applications Development teams, overseeing personnel duties such as performance evaluations and hiring.
Design, develop, and deploy scalable Python-based Generative AI solutions integrating GenAI APIs (e.g., OpenAI, Gemini) and implement Retrieval Augmented Generation (RAG) systems.
Provide technical oversight across systems and applications, participate in project strategy formulation, resource management, and ensure compliance with policies and regulations.
10+ years of professional software development experience with strong Python focus.
Proven hands-on experience with Generative AI technologies and practical experience implementing RAG systems.
Expertise in at least one modern Python web framework: FastAPI, Flask, or Django.
Bachelor’s degree or equivalent experience required; Master’s degree preferred.
Experienced in managing and mentoring software development teams with accountability for delivery and personnel management.
Strong applied knowledge of Generative AI technologies and backend development in Python with integration of GenAI APIs.
Capable of providing technical leadership including architecture strategy, risk assessment, and compliance adherence in complex application development environments.