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Senior 12+ years and specialized backend plus Generative AI requirements reduce candidate density.
Medium—backend and AI skills transfer across industries, but Generative AI and Databricks add specificity.
High—explicit 12+ years plus mandatory backend, Databricks, cloud and Generative AI expertise.
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Lead design and architecture of scalable Python backend platforms and AI-powered systems leveraging Generative AI and Agentic AI.
Drive cloud-native infrastructure strategy and deployment across Azure or AWS environments ensuring security, scalability, and reliability.
Provide technical leadership and mentorship to engineering teams, and collaborate cross-functionally to translate business needs into scalable AI-driven solutions.
12+ years experience in software engineering with backend and AI application development focus.
Expert-level proficiency in Python, and experience with FastAPI or similar modern Python backend frameworks.
Experience with cloud platforms Azure or AWS, and strong SQL/database expertise including Databricks and RDBMS systems.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Senior-level engineer with proven leadership in architecting complex backend and AI systems at scale.
Experienced in integrating advanced AI technologies such as LLMs, Generative AI, and Agentic AI into enterprise applications.
Strategic thinker comfortable driving technical standards, mentoring teams, and collaborating cross-functionally in a product engineering environment.