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Senior, metro role with niche AI and backend requirements yields moderate competition.
Highly domain-specific ML/LLM and Python backend expertise limits cross-industry transferability.
Explicit 12+ years, mandatory Python/AI/backend/cloud expertise creates strict shortlisting filters.
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Lead design and architecture of scalable Python-based backend systems and AI-powered platforms.
Drive development and integration of Generative AI and Agentic AI solutions including LLMs and autonomous agents.
Lead cloud-native infrastructure strategies and provide technical mentorship to engineering teams.
12+ years of software engineering experience including backend and AI application development.
Expert-level Python proficiency with strong experience in FastAPI or similar frameworks.
Advanced SQL skills and experience with Databricks (Genie & NLQ), plus cloud experience on Azure or AWS.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Experienced leader in designing high-performance microservices and distributed backend architectures.
Deep hands-on knowledge integrating Generative AI, Agentic AI, LLM orchestration, and AI-driven automation into enterprise applications.
Proven ability to lead cross-functional teams across engineering, data science, and product to deliver scalable AI solutions.