Agentic AI Engineer

About the Role

This Agentic AI Engineer role involves working with cutting-edge technologies to design and implement agentic architectures using Large Language Models (LLMs) and reasoning engines. You will contribute to the development of multi-agent systems for task orchestration and integrate external tools, REST APIs, and knowledge bases to augment agent capabilities.

Key Responsibilities

• Design and implement 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.

Skills & Qualifications

• Proficiency in Python programming.
• Experience with AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Familiarity with agentic frameworks like 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.
• Bachelor's degree in Computer Science or related field.
• Familiarity with Docker and cloud environments (AWS, Azure, or GCP).
• Good to Have: Exposure to RAG (Retrieval-Augmented Generation) pipelines and vector databases (Pinecone, Weaviate, Chroma).

What You'll Learn

In this role, you will gain hands-on experience with agentic AI and LLMs, developing a strong foundation in designing and implementing agentic architectures. You will also learn about responsible AI principles and safety considerations in LLM systems, making you a valuable asset to any organization.

Resume Tip

When applying for this role, be sure to highlight your experience with Python programming, AI/ML frameworks, and agentic frameworks. Emphasize your understanding of responsible AI principles and safety considerations in LLM systems, as well as your ability to work with cross-functional teams to embed agentic AI into business applications.