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Well-known firm, metro-based mid-level ML/AI role with broad LLM and cloud requirements increases applicant competition.
Core LLM, Python, and cloud engineering skills are broadly transferable across industries.
Explicit five-year minimum plus mandatory Python, LLM, and cloud skills create moderately strict shortlisting.
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Design, develop, test, and deploy AI-driven applications using Python and AI platforms including Google Gemini Enterprise, LangChain, and LangGraph.
Integrate large language models, APIs, vector databases, prompt management, and workflow orchestration to build automation and intelligent workflows for operational efficiency.
Evaluate emerging AI technologies and platforms to support enterprise adoption, responsible AI governance, and align with regulatory and security standards.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Technology, or related discipline.
Minimum 5 years of professional experience in software development and technology delivery.
Strong experience with Python and enterprise AI platforms (e.g., Google Gemini Enterprise, Azure AI Services, AWS AI Services).
Experience with Generative AI technologies, AI orchestration frameworks (LangChain, LangGraph), cloud services, and understanding of SDLC practices.
Experienced software engineer with demonstrated ability to deliver scalable AI-driven enterprise applications.
Familiarity with financial services or regulated environments preferred but not mandatory.
Operator comfortable collaborating across architecture, AI, data, security teams to align technology solutions with enterprise transformation goals.