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Tier-1 employer, popular GenAI role, mid-level experience and metro location increase applicant competition.
GenAI engineering skills transfer across industries but advisory and enterprise integration focus adds moderate specificity.
Explicit 3+ years, mandatory GenAI/Python/cloud skills and MBA requirement make shortlisting strict.
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Design, develop, and deploy AI-powered applications and solutions using Generative AI technologies including LLMs, RAG architectures, and AI agents.
Develop backend services, APIs, integrations, and user interfaces; integrate foundation models and AI services from leading AI platforms.
Optimize AI applications for quality, performance, scalability, reliability, and collaborate with teams to deliver scalable AI solutions.
3+ years of work experience in software engineering or AI application development.
Strong proficiency in Python and experience with GenAI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
Experience with cloud platforms like Azure, AWS, or GCP and containerization technologies (e.g., Docker).
Mandatory educational qualification: MBA (Master of Business Administration).
Experience building AI-powered applications with expertise in Generative AI concepts like prompt engineering, embeddings, and vector databases.
Strong software engineering foundations coupled with ability to integrate AI solutions into enterprise systems and APIs.
Familiarity with AI evaluation, observability tools, and responsible AI governance practices to ensure solution quality and compliance.