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Niche agentic AI skillset reduces applicant pool despite metro location and mid-level experience.
Highly specialized agentic AI and LLM expertise limits cross-industry transferability.
Many mandatory years, LLM stack, specific agent frameworks, cloud platforms, and MLOps requirements.
Design, develop, and deploy agentic AI systems and autonomous multi-agent workflows using frameworks like AutoGen, LangGraph, and CrewAI.
Implement and optimize generative AI applications and LLM-based cloud-hosted solutions focusing on autonomous decision-making and business process automation.
Lead architectural design, integration, and deployment of AI systems including RAG architectures, vector databases, and orchestration on AWS and on-premises infrastructure.
3-6 years of total technical experience with at least 2 years hands-on in Generative AI and LLM technologies.
Minimum 1 year experience developing agentic systems or autonomous AI workflow automation.
Proficient in Python programming and experienced with LLM orchestration frameworks such as LangChain and LlamaIndex.
Location: Hybrid role based in Bengaluru, India.
Experience delivering production-grade multi-agent AI solutions with orchestration and workflow automation expertise.
Demonstrated ability working with cloud-based LLM platforms (Amazon Bedrock, SageMaker JumpStart) and deploying scalable generative AI services.
Strong systems design mindset with deep NLP and machine learning expertise, capable of integrating multiple AI frameworks and protocols for complex autonomous agent collaboration.