Key Responsibilities:

• 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

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: Prompt engineering, LangGraph, Python, Gi

• 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 pipeline