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Tier-1 brand, generic title, mid-level experience, metro location, and broad GenAI/Python requirements increase competition.
ML/GenAI skills are transferable, but enterprise security and finance context require some specialized experience.
Explicit 3+ years plus required Python, LLM/GenAI, cloud and security skills raise shortlisting rigor.
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Design and deliver secure, scalable software integrating Gen AI models with enterprise workflows.
Develop and maintain data pipelines, application architectures, and production-quality Python code in an agile environment.
Leverage AI-assisted coding tools to improve code quality, productivity, and contribute reusable solutions for broader team impact.
3+ years applied software engineering experience with formal training or certification.
Strong hands-on Python expertise with frameworks like Django, Flask, or FastAPI.
Experience with AI-assisted development tools and integration of LLMs, Gen AI, and RAG solutions.
Familiarity with cloud-based AI services (AWS/Azure/GCP) and software development lifecycle including CI/CD pipelines and agile practices.
Experienced in system design and building enterprise-grade Gen AI solutions using frameworks like Langchain, LangGraph.
Able to critically evaluate, validate, and ensure secure, responsible AI use in engineering workflows.
Comfortable working in large corporate environments maintaining complex ML and cloud technology applications.