What are the responsibilities and job description for the Agentic AI Engineer-F2F Interview position at VKore Solutions LLC?
Job Details
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Design, build, and deploy AI agentic systems using LLMs (OpenAI, Anthropic, Llama, etc.).
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Develop autonomous multi-agent workflows, memory systems, and decision-making pipelines.
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Build modular and reusable Python components for agent cognition, planning, tools, and actions.
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Integrate agents with APIs, databases, vector stores, automation tools, and cloud services.
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Implement prompt engineering, RAG pipelines, and reasoning-enhanced agent behaviors.
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Optimize agent performance, response quality, reliability, and tool-use accuracy.
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Develop backend services, microservices, and REST APIs to support AI applications.
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Use frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, FastAPI, etc.
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Implement best practices for version control, testing, observability, and deployment.
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Collaborate with product, ML, and engineering teams to design intelligent AI solutions.
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Stay current with emerging agentic architectures, LLM capabilities, and automation trends.