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, Git
