Qualibar · 6 hours ago
Agentic AI Engineer
Qualibar is seeking a forward-thinking Agentic AI Engineer to lead the design and development of intelligent agent workflows and autonomous systems. This role is central to building scalable, context-aware AI agents that operate across multi-agent environments.
Responsibilities
Architect and implement agentic AI systems that support autonomous decision-making and collaboration across multiple agents
Develop and optimize context-aware workflows using advanced context engineering techniques
Design and refine prompts for AI agents to ensure accurate, efficient, and safe task execution
Build and maintain Azure Function Apps to support agent orchestration and event-driven processing
Integrate and manage AI models using Azure ML Studio for real-time inference and learning
Use Terraform to provision and manage scalable infrastructure for agentic systems
Collaborate with cross-functional teams to identify automation opportunities and translate them into agentic solutions
Monitor, evaluate, and improve agent performance and inter-agent communication
Document architecture, workflows, and engineering decisions for internal knowledge sharing
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, or related field
Strong proficiency in C# and .NET development
Hands-on experience with Terraform and infrastructure-as-code practices
Proven experience with Azure Function Apps and Azure ML Studio
Solid understanding of agentic AI principles, including multi-agent coordination and autonomous behavior
Experience with context engineering and prompt design for AI systems
Excellent analytical, problem-solving, and communication skills
Experience with Microsoft 365, including Outlook, Word, Excel, Teams, and PowerPoint
Eligible to work in the U.S. without relying solely on a student visa or a visa sponsored by a third-party employer
Preferred
Experience with reinforcement learning, AI planning, or distributed agent systems
Familiarity with LLM-based agent frameworks and orchestration tools
Knowledge of DevOps practices and CI/CD pipelines in Azure
Background in data engineering or real-time data processing