Job Description
· We are looking for an Agentic AI Engineer to design, develop, and maintain scalable agentic AI workflows using LangGraph and Large Language Models (LLMs).
· The role requires strong prompt engineering expertise, solid Python development skills, and hands-on experience working with Git-based CI/CD pipelines in a production environment.
Key Responsibilities
· Design and develop reusable agentic AI workflows using LangGraph and LLMs Craft, test, and refine high-quality prompts to ensure reliable and consistent LLM outputs
· Implement and understand Agent-to-Agent (A2A) orchestration patterns Write clean, production-ready Python code with comprehensive pytest unit tests.
· Use Git for version control and collaborate within a team-based development environment.
· Implement and maintain GitLab CI/CD pipelines for automated build, testing, and deployment.
Required Skills
· Strong prompt engineering skills for LLM control and output reliability.
· Proven experience with LangGraph, including building and maintaining reusable workflows and components.
· Proficiency in Python, including writing and maintaining pytest-based unit tests .
· Hands-on experience with Git and GitLab CI/CD pipelines.
· Good-to-Have Skills:Hands-on experience in agentic AI system design and orchestration Solid understanding of Agent-to-Agent (A2A) orchestration principles
