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.
