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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:
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
Job ID: 140234649