* 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.

Good to Have
* Exposure to RAG (Retrieval-Augmented Generation) pipelines.
* Familiarity with vector databases (Pinecone, Weaviate, Chroma).
* Basic knowledge of Docker and cloud environments (AWS, Azure, or GCP)

* 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

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