Agentic AI Engineer; LangGraph & LLMs

Overview

We are looking for an Agentic AI Engineer to design, develop, and maintain scalable agentic AI workflows using Lang Graph and Large Language Models (LLMs).

The role requires strong prompt engineering expertise, solid Python development skills, and hands-on experience working with Git-based CI/CD pipelines in a production environment.

• Design and develop reusable agentic AI workflows using Lang Graph and LLMs; craft, test, and refine high-quality prompts to ensure reliable and consistent LLM outputs.
• Implement and understand Agent-to-Agent (A2A) orchestration patterns.
• Write clean, production-ready Python code with comprehensive pytest unit tests.
• Use Git for version control and collaborate within a team-based development environment.
• Implement and maintain Git Lab CI/CD pipelines for automated build, testing, and deployment.

• Strong prompt engineering skills for LLM control and output reliability.
• Proven experience with Lang Graph, including building and maintaining reusable workflows and components.
• Proficiency in Python, including writing and maintaining pytest-based unit tests.
• Hands-on experience with Git and Git Lab CI/CD pipelines.
• Good-to-Have
  
  Skills:
  
  Hands-on experience in agentic AI system design and orchestration; solid understanding of Agent-to-Agent (A2A) orchestration principles.