AI Engineer; Agentic AI

Overview

Designs, develops, and deploys autonomous AI systems that can reason, adapt, and act independently to achieve goals.

• Implementing agentic frameworks like Lang Chain or custom solutions for agent-to-agent communication, dynamic task assignment, and context-aware decision-making.
• Working experience with LLMs (LLaMA, GPT) for language understanding, generation, and task planning.
• Developing and integrating Retrieval-Augmented Generation (RAG) pipelines to enhance agents' reasoning capabilities by grounding them in domain-specific knowledge.
• Implementing multi-agent communication protocols for agent collaboration and coordination.
• Deploying scalable AI workflows on cloud platforms like AWS, Azure or GCP, optimizing for latency and resource utilization.

• Strong programming skills in Python and experience with object-oriented languages like Java.
• Proficiency in using agentic frameworks and libraries like Lang Chain, Auto Gen, or Llama Index.
• Experience with AI and machine learning concepts.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with LLMs and their application in agentic systems.