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Tier-1 brand, mid-level GenAI role, 5+ experience band, and Bangalore location increase competition.
GenAI engineering skills broadly transferable, but consulting and MBA preference raises fit sensitivity.
Mandatory 5+ years, specific GenAI stack and MBA requirement create strict shortlisting filters.
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Design, develop, and deploy AI-powered applications and production-ready solutions using LLMs, RAG architectures, and multi-agent systems.
Build backend services, APIs, integrations, and user interfaces for AI solutions, integrating foundation models from leading AI platforms.
Optimize and maintain AI applications considering quality, scalability, performance, and cost; collaborate with stakeholders to deliver scalable solutions.
5+ years of relevant work experience.
Master of Business Administration (MBA) degree.
Strong proficiency in Python and experience building APIs using frameworks like FastAPI or Flask.
Experience with generative AI technologies including LLMs, prompt engineering, AI platforms (e.g., Azure OpenAI, OpenAI), and cloud platforms such as Azure, AWS, or GCP.
Experienced in designing and deploying complex AI applications incorporating generative AI and vector databases within enterprise contexts.
Skilled in full-stack development including backend services and frontend technologies (React, Next.js, Streamlit).
Familiar with cloud-native development, containerization (Docker), CI/CD practices, and AI governance or responsible AI implementation.