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Niche GenAI skills narrow pool but metro location and mid-level seniority increase competition.
Highly specialized GenAI, agentic AI, and vector DB expertise reduces cross-industry transferability.
Multiple mandatory filters: 6+ years overall, 2+ GenAI, Python, FastAPI, vector DBs, GCP and CI/CD.
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Own the development and deployment of agentic AI solutions leveraging GenAI and AI agents.
Engineer scalable software components using Python, FastAPI, and cloud services with focus on vector database integrations.
Implement CI/CD pipelines and manage cloud-based deployments primarily on GCP.
6+ years of overall software engineering experience.
Minimum 2+ years hands-on experience with GenAI and Agentic AI technologies.
Proficiency in Python programming and FastAPI framework.
Experience with vector databases (e.g., Pinecone, Qdrant, Weaviate, Milvus) and cloud platforms, preferably GCP.
Experienced in applying large language models (LLMs), retrieval augmented generation (RAG), and AI agent frameworks such as LangChain or LangGraph.
Comfortable working in cloud-native environments with strong CI/CD practices.
Has a proven track record of building and deploying advanced AI-driven applications in IT services or related domains.