Agentic AI Engineer

We are looking for an enthusiastic Agentic AI Engineer to join our team in building intelligent, autonomous AI agents. You will contribute to designing and implementing LLM-based systems and multi-agent workflows under the guidance of senior engineers, gaining deep hands-on exposure to cutting-edge agentic frameworks Technical Requirements: • Solid Python programming with experience in AI/ML frameworks (PyTorch, TensorFlow, or Scikit-learn). • Foundational understanding of LLMs and prompt engineering techniques. • Exposure to at least one agentic framework: LangChain, LangGraph, AutoGen, or CrewAI. • Basic knowledge of REST API integration and tool augmentation for agents. • Familiarity with responsible AI principles and safety considerations in LLM systems Responsibilities: • Assist in designing and implementing agentic architectures using LLMs and reasoning engines. • Contribute to the development of multi-agent systems for task orchestration. • Integrate external tools, REST APIs, and knowledge bases to augment agent capabilities. • Write clean, well-documented Python code for agent logic and workflow components. • Support testing, evaluation, and debugging of agent pipelines. • Research agentic frameworks and prototype capabilities such as memory and planning modules. • Collaborate with cross-functional teams to embed agentic AI into business applications. Preferred Skills: Technology->AI-Agentic AI->Agent Engineering,Technology->AI-Agentic AI->AgentOps,Technology->AI-Agentic AI->Google Cloud – Contact Center AI,Technology->AI-AI Hyperscalers->AWS Agentic AI Services,Technology->AI-AI Hyperscalers->Azure Agentic AI Services,Technology->AI-AI Hyperscalers->Google Agentic AI Services,Technology->OpenSystem->Python - OpenSystem->Python