Job Description:
• Design and develop reusable agentic AI workflows with LangGraph and LLMs.
• Craft and refine clear, effective prompts for diverse tasks.
• Understand Agent-to-Agent (A2A) design patterns.
• Write clean, production-grade Python code with comprehensive pytest unit tests.
• Use Git for version control and GitLab CI/CD to automate build, test, and deployment pipelines.
Requirements:
Required Skills & Experience:
• Hands-on experience in agentic AI system design and orchestration.
• Strong prompt engineering skills for LLM control and output reliability.
• Proven ability to build and maintain LangGraph workflows and reusable components.
• Solid understanding of A2A orchestration principles.
• Proficiency in Python, including writing pytest unit tests.
• Practical experience with Git and GitLab CI/CD in a team environment.
Must have:
• Strong prompt engineering skills for LLM control and output reliability.
• Proven ability to build and maintain LangGraph workflows and reusable components.
• Proficiency in Python, including writing pytest unit tests.
• Use Git for version control and GitLab CI/CD to automate build, test, and deployment pipelines.
Good to have:
• Hands-on experience in agentic AI system design and orchestration.
• Solid understanding of A2A orchestration principles.
Must have:
• Prompt engineering, LangGraph, Python, Git.
