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Tier-1 employer and Pune metro increase candidate density, but seniority and niche LLM specialization reduce competition.
Deep LLM, VertexAI and Dialogflow expertise make cross-industry transferability limited.
Explicit 13+ years, VP title, and mandatory Gemini/VertexAI/Dialogflow expertise create highly selective filters.
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Lead the design, architecture, deployment, and optimization of scalable AI applications using Python, FastAPI/Flask, and Google VertexAI.
Architect, integrate, and fine-tune large language models (especially the Gemini Model) for advanced NLP and generative AI use cases.
Drive conversational AI and agentic AI system development using Dialogflow CX, ADK, and LangGraph, and lead cloud infrastructure management on GCP platforms.
13+ years of professional experience in AI engineering or related roles with leadership responsibilities.
Proficient in Python programming and frameworks like FastAPI or Flask; expertise in Google VertexAI and large language models including Gemini.
Experience in conversational AI platforms such as Dialogflow CX, and cloud platform expertise particularly with Google Cloud Platform services including CloudRun/GKE, BigQuery, and CloudSQL.
Bachelor’s, Master’s, or PhD in Computer Science, AI/ML Engineering, Statistics, Mathematics, Engineering, or related quantitative fields.
Experienced AI engineering leader capable of driving end-to-end AI architecture and AI product strategy aligned with business goals.
Deep technical expertise in integrating and optimizing LLMs and conversational AI systems, with hands-on experience in agentic AI orchestration frameworks.
Pragmatic cloud infrastructure leader familiar with GCP services and deploying production-grade AI solutions with governance and monitoring (AIOps).