Agentic AI Engineer / Multi-Agent Architect - Q126

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 selection accuracy, and loop-termination conditions.

Leverage AI coding assistants (GitHub Copilot, Cursor) to rapidly iterate on prompt engineering, agent state management, and boilerplate system logic.

Collaborate with backend and data engineers to ensure agents have secure, low-latency access to enterprise databases and IoT telemetry.

Qualifications: * Up to 3 years of software engineering experience, with a heavy emphasis on Python, AI integration, or multi-agent systems.

Deep understanding of Large Language Models (Claude, OpenAI, Grok) and advanced prompt engineering (Chain-of-Thought, ReAct frameworks).

Hands-on experience with agent orchestration frameworks (LangChain, LangGraph, CrewAI, LlamaIndex).

Proven experience working alongside AI coding assistants to enhance productivity.

Familiarity with REST/GraphQL API design and enabling LLMs to interact with external tools via function calling.

Excellent problem-solving skills and a passion for pushing the boundaries of autonomous software capabilities.