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Tier-1 employer plus metro location increases competition, but niche GenAI seniority tempers density.
Specialized GenAI and enterprise compliance context make skills moderately industry-sensitive but still transferable.
Explicit 10+ years, mandatory GenAI/Python/RAG experience and leadership raise strictness of filters.
Manage and lead one or more Applications Development teams including personnel responsibilities such as performance evaluations and hiring.
Design, develop, and deploy Python-based Generative AI solutions leveraging GenAI APIs and implement Retrieval Augmented Generation (RAG) systems.
Oversee application development lifecycle, including code quality, performance optimization, strategy formulation, and compliance with regulatory and ethical standards.
10+ years of professional software development experience with strong focus on Python.
Hands-on experience with Generative AI technologies and APIs such as OpenAI or Gemini.
Experience with Python web frameworks like FastAPI, Flask, or Django and implementing Retrieval Augmented Generation (RAG) systems.
Bachelor’s degree or equivalent experience; Master’s degree preferred.
Experienced leader capable of managing technical teams and overseeing application development with accountability for delivery and compliance.
Strong expertise in Generative AI application development, including backend service development and integration of advanced AI APIs.
Comfortable working cross-functionally and handling strategic application development decisions in a regulated financial services environment.