Agentic AI Engineer / Multi-Agent Architect - Q126 - R2 Technologies Corporation - Alpharetta, GA
R2 Technologies Corporation
Overview:
Job Title: Agentic AI Engineer / Multi-Agent Architect
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: R2 Technologies is seeking an Agentic AI Engineer to build the next frontier of autonomous software. Instead of building static applications, you will design autonomous agents capable of independent planning, tool usage, and cross-agent delegation. You will be instrumental in developing systems that can reason through complex, multi-step workflows, debug their own errors, and execute tasks without human intervention to power our proprietary platforms and enterprise client solutions.
Key Responsibilities: * Design and orchestrate multi-agent architectures that allow LLMs to collaborate, delegate tasks, and execute complex business workflows.
Build custom tools, functions, and API integrations that autonomous agents can trigger independently (e.g., executing code, querying databases, triggering webhooks). Utilize cutting-edge frameworks like LangChain, CrewAI, AutoGPT, or Microsoft Semantic Kernel to structure agentic logic and memory streams. Develop robust evaluation frameworks to score agent performance on reasoning, tool s