Agentic AI Engineer

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Description

About CodeRoad CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape. About the Role As an Agentic AI Engineer, you will serve as the technical backbone for building and scaling our production-grade multi-agent platform. Working primarily with Python and modern orchestration frameworks like LangGraph, you will design a hierarchical multi-agent layer, implement dynamic context-loading mechanisms, and integrate standardized tool-calling interfaces to transition legacy workflows into fully autonomous systems. This role is critical to optimizing our AI ecosystem's performance, token economics, and operational security. By establishing automated evaluation harnesses, robust observability stacks, and enterprise-grade security guardrails, your work will directly drive the reliability, safety, and scalable impact of high-performing AI agents across our organization. Key Responsibilities Design and deploy a hierarchical multi-agent workflow using LangGraph, successfully transitioning legacy single-prompt implementations into modular agentic systems. Build domain-specific sub-agents featuring dynamic, on-demand context loading to significantly optimize latency and token economics. Design and integrate scalable tool-calling capabilities and s

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