Job Summary
We are seeking an experienced Agentic AI Engineer to design, build, and maintain scalable agentic AI systems using LangGraph, LLMs, and Python. The ideal candidate has strong prompt engineering expertise, experience building reusable AI workflows, and a solid foundation in production-grade software development with CI/CD best practices.
Key Responsibilities
• Design, develop, and maintain reusable agentic AI workflows using LangGraph and large language models (LLMs)
• Craft, test, and refine high-quality prompts to ensure reliable, controllable, and consistent LLM outputs
• Implement and manage Agent-to-Agent (A2A) orchestration patterns for complex workflows
• Write clean, maintainable, production-ready Python code
• Develop comprehensive pytest unit tests to ensure system reliability and correctness
• Use Git for version control and collaborate effectively within a team environment
• Configure and maintain GitLab CI/CD pipelines to automate build, test, and deployment processes
• Continuously improve workflow performance, robustness, and reusability
Required Skills & Experience
• Proven experience in agentic AI system design and orchestration
• Strong prompt engineering skills for LLM control, reliability, and output consistency
• Hands-on experience building and maintaining LangGraph workflows and reusable components
• Proficiency in Python, including writing and maintaining pytest unit tests
• Solid experience using Git for version control in a collaborative setting
• Practical knowledge of GitLab CI/CD for automated testing and deployment pipelines
