Job Scope:
• Design and develop reusable agentic AI (artificial intelligence) 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:
• Degree in Computer Engineering / Data Science / Artificial Intelligence or equivalent.
• More than 7 years of hands-on experience in agentic AI system design and orchestration.
• Excellent 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.
Interested candidates can click apply for more information.
• * We regret to inform that only shortlisted candidates will be notified. **
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Rallonza Bernice Mae Nocum | EA License No. 02C3423 Personnel | Registration No. R1442141
