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Tier-1 consulting brand, Bangalore metro and mid-level GenAI role attract many qualified applicants.
GenAI engineering skills are transferable across industries, though enterprise integration increases specificity.
Explicit 5+ years plus mandatory GenAI, Python, API and cloud skills.
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Design, develop, and deploy AI-powered applications and production-ready solutions using LLMs, RAG architectures, AI agents, and orchestration frameworks.
Build backend services, APIs, user interfaces, and integrate foundation AI models from leading platforms such as Azure OpenAI, OpenAI, and Google Vertex AI.
Optimize AI applications for quality, scalability, performance, and cost; collaborate with architects, engineers, and business stakeholders; contribute to reusable frameworks and best practices.
5+ years of relevant work experience in AI engineering or software development.
Master of Business Administration (MBA) degree mandatory.
Proficiency in Python, API development (FastAPI, Flask), and front-end frameworks (React, Next.js, Streamlit).
Experience with cloud platforms (Azure, AWS, GCP), containerization (Docker), and CI/CD practices.
Experienced in generative AI technologies including prompt engineering, embeddings, vector databases, and agentic AI with hands-on usage of frameworks like LangChain or LlamaIndex.
Strong software engineering background with ability to build scalable, maintainable AI applications and services.
Proficient in integrating AI solutions with enterprise business systems and familiar with AI governance and responsible AI practices.