Artificial Intelligence Engineer

We are seeking a skilled Agentic AI Developer to design, build, and maintain scalable agentic AI workflows using LangGraph and Large Language Models (LLMs). The ideal candidate will have strong prompt engineering expertise, solid Python development skills, and hands-on experience delivering production-grade AI solutions with robust testing and CI/CD practices.

Key Responsibilities

• Design, develop, and maintain reusable agentic AI workflows using LangGraph and LLMs
• Craft, test, and refine clear, effective prompts to ensure reliable and high-quality LLM outputs
• Implement and manage agent-to-agent (A2A) orchestration patterns
• Develop clean, maintainable, production-grade Python code
• Write comprehensive pytest unit tests to ensure code quality and reliability
• Use Git for version control and collaborate effectively within a team environment
• Implement and maintain GitLab CI/CD pipelines to automate build, test, and deployment processes
• Troubleshoot, optimize, and continuously improve AI workflows and system performance

Required Skills & Experience

• Hands-on experience in agentic AI system design and orchestration
• Strong prompt engineering skills for controlling LLM behavior and ensuring output reliability
• Proven experience building and maintaining LangGraph workflows and reusable components
• Solid understanding of Agent-to-Agent (A2A) orchestration principles
• Proficiency in Python, including writing and maintaining pytest-based unit tests
• Practical experience using Git and GitLab CI/CD in a collaborative, team-based environment

Must-Have Skills

• Strong prompt engineering expertise for LLM control and output reliability
• Proven ability to design, build, and maintain LangGraph workflows and reusable components
• Proficiency in Python with experience writing pytest unit tests
• Experience using Git for version control and GitLab CI/CD for automated build, test, and deployment