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Tier-1 brand, popular GenAI role, mid-level seniority and metro location increase candidate competition.
Core AI engineering skills transfer across industries, though financial systems integration adds moderate specialization.
Mandatory 3+ years, GenAI frameworks, Python, cloud and integration skills create strict filters.
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Design, develop, and deploy AI-powered applications and solutions using generative AI technologies including LLMs, RAG architectures, and AI agents.
Build backend services, APIs, integrations, and user interfaces for AI solutions leveraging modern AI platforms and cloud technologies.
Collaborate with architects, engineers, and business stakeholders to deliver scalable AI solutions and contribute to reusable frameworks and best practices.
Minimum 3+ years of work experience in relevant AI application development or software engineering roles.
MBA degree mandatory as per the job description.
Strong proficiency in Python and experience building APIs using FastAPI, Flask, or similar frameworks.
Hands-on experience with generative AI frameworks (e.g., LangChain, LangGraph) and AI platforms (e.g., Azure OpenAI, OpenAI, Google Vertex AI).
Experience working across the full AI solution lifecycle from prototyping to enterprise-scale production deployment in advisory or consulting environments.
Demonstrated ability to integrate AI solutions with enterprise systems and adhere to software design principles and cloud-native development practices.
Familiarity with responsible AI practices, AI governance, and AI evaluation/observability tools.