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Specialized generative AI role at a known mid-tier employer with mid-level experience attracts moderate competition.
Generative AI and RAG expertise is transferable across industries but requires ML and cloud experience.
Explicit 5+ years and mandatory RAG, Vertex AI, GCP and agent-framework experience enforce strict shortlisting.
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Design, build, and implement scalable, production-ready Retrieval-Augmented Generation (RAG) solutions in enterprise environments.
Develop and integrate Generative AI applications using LLMs on Google Cloud Platform (GCP), specifically Vertex AI.
Implement AI guardrails including PII detection and masking to ensure data privacy and compliance.
5+ years of experience in building enterprise-grade AI solutions, including production-ready RAG implementations.
Strong hands-on experience with Retrieval-Augmented Generation (RAG) and Generative AI development.
Proficiency in Python programming and expertise in GCP services, including Vertex AI.
Experience with AI guardrails for PII/data privacy and at least one Agentic AI orchestration framework (e.g., LangGraph or Google ADK).
Experienced AI engineer focused on enterprise-scale, production-grade Generative AI and RAG solutions delivery.
Strong technical operator with proven hands-on coding and solution design skills in AI and cloud platforms.
Familiar with scalable retrieval architectures and real-world AI governance challenges like PII masking and frequently updated knowledge bases.