Agentic AI Engineer

Agentic AI Engineer

• 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 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) • 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.