Walk-in | Agentic AI Engineer walk-in 23rd May

Job description

• Strong hands-on experience with Large Language Models (LLMs) and Generative AI
• Proven experience designing Agentic AI systems (autonomous agents, tool-using agents, planners, memory-enabled agents)
• Expertise in Python and modern AI frameworks
• Experience with agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel
• Hands-on experience with retrieval-augmented generation (RAG) and tool/function calling
• Experience integrating agents with APIs, databases, enterprise systems, and external tools
• Strong understanding of prompt engineering, reasoning chains, planning, and orchestration
• Experience deploying AI solutions on cloud platforms (AWS, Azure, or GCP)
• Familiarity with Docker, CI/CD, and scalable deployment practices
• Ability to translate business workflows into autonomous or semi-autonomous AI agent designs