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Tier-1 brand plus mid-level AI role in a metro city creates high applicant competition.
GenAI engineering skills transfer across industries but require AI-specific tooling and compliance familiarity.
Explicit 3–6 years plus specific GenAI, RAG, agentic and Python skills enforce strict technical filters.
Support development and integration of generative AI applications leveraging pre-trained and hosted foundation models.
Contribute to context engineering workflows, prompt engineering, RAG system components, knowledge graph pipelines, and agentic AI workflows under senior guidance.
Assist deployment, monitoring, and maintenance of GenAI and agentic applications and collaborate closely with data scientists and engineers.
Proficiency in Python for GenAI development and data preprocessing.
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
3–6 years of professional experience in software/AI development with exposure to Generative AI and agentic AI.
Experience with prompt engineering, RAG systems, knowledge graphs, agentic AI frameworks (e.g., Google ADK, LangGraph), and consumption of major GenAI APIs.
Hands-on experience or project work with building and integrating retrieval-augmented generation (RAG) systems and agentic workflows.
Operates best under guidance while progressively owning well-scoped AI components, showing steady technical growth in GenAI stack.
Familiarity with deploying AI applications in production including containerization and collaboration in team settings with code reviews and documentation.