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Niche GenAI skills reduce candidates but Bangalore location and mid-level experience increase density.
GenAI and multi-cloud skills are transferable across sectors but require specialized AI experience.
Explicit 6-9 years, specialized GenAI experience and multi-cloud proficiency required.
Develop and manage solutions involving Agentic AI and Multi-Agent Systems with integration of RAG, LLM, LangGraph, and LangChain technologies.
Implement and support AI applications operating across multiple cloud platforms, ensuring cross-cloud functionality and optimization.
Drive deployment and maintenance in a multi-cloud environment, leveraging expertise in at least two cloud platforms among Azure, AWS, Databricks, and GCP.
6 to 9 years of relevant work experience.
Hands-on experience with Agentic AI, Multi-Agent Systems, RAG, LLM, LangGraph, and LangChain technologies.
Proficiency in at least two multi-cloud platforms among Azure, AWS, Databricks, and GCP.
Immediate availability to join and based in Bangalore as the job location is Bangalore.
Experienced in designing and deploying complex AI systems involving Multi-Agent architectures and advanced AI frameworks.
Capable of working with multi-cloud environments for scalable and resilient AI solutions.
Mid to senior-level professional with a focus on cloud-integrated AI development and fast project onboarding.