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Tier-1 brand, mid-level (3-6yrs), generic senior engineer title, and metro role increase applicant competition.
Requires specialized GenAI and enterprise automation expertise, somewhat transferable but with notable domain bias.
Explicit 3–6 years plus mandatory GenAI/LLM, agentic and Python skills enforce strict screening filters.
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Design, build, and maintain agentic automation workflows to improve Corporate Reliability Engineering (CRE) operational outcomes including incident reduction and automated triage.
Develop reusable automation components, integrations, and human-in-the-loop solutions applying secure development and GenAI/agentic AI capabilities for improved reliability and reduced manual effort.
Analyze operational data to identify automation opportunities, implement quality gates and automated testing, and produce business impact reporting to drive continuous service improvement.
3-6 years of software development or related technical experience in automation, AI/ML, or reliability engineering roles.
Bachelor’s degree in IT, Computer Science, Engineering or related field, or equivalent practical experience.
Proficiency in Python or similar programming/scripting languages with experience in AI, LLM, API, and agent orchestration solutions.
Experience or familiarity with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and agent frameworks.
Experienced in developing and deploying production-ready agentic AI workflows and automation within large-scale enterprise reliability or IT operational environments.
Strong background in scripting and integration of automation with telemetry, support tools, and enterprise platforms applying secure development and production standards.
Comfortable working cross-functionally and translating operational challenges into scalable, reusable technical solutions that balance automation with human-in-the-loop controls.