AI/ML Engineer - Q126

Job Title: AI/ML Engineer

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 to industries ranging from Healthcare to Financial Services, 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: As an AI/ML Engineer at R2 Technologies, you will be at the forefront of designing and deploying intelligent, next-generation solutions for our clients and contributing to our internal product offerings like SmartEnt. We are looking for a forward-thinking engineer who goes beyond traditional machine learning to build dynamic, agentic AI systems. You will be responsible for integrating state-of-the-art Large Language Models (LLMs)—with a strong emphasis on Anthropic’s Claude—into enterprise applications. The ideal candidate deeply understands the 2026 AI ecosystem, including advanced RAG (Retrieval-Augmented Generation) architectures, autonomous agents, and model orchestration.

Key Responsibilities: * Design, develop, and deploy scalable AI/ML pipelines and autonomous agent architectures tailored to complex client business needs and R2's digital platforms.

Integrate and optimize cutting-edge LLMs into enterprise applications, acting as the subject matter expert on Anthropic's Claude API, its latest contextual window capabilities, and advanced reasoning features.

Build robust RAG systems utilizing modern vector databases to securely ground enterprise data for actionable insights and intelligent decision-making.

Develop agentic workflows utilizing frameworks like LangChain, LlamaIndex, or AutoGen to create systems capable of multi-step reasoning and independent tool execution.

Collaborate with cross-functional product and engineering teams to evaluate and implement auxiliary models when specific use cases demand them.

Continuously monitor, fine-tune, and evaluate model performance, ensuring low latency, high accuracy, cost-efficiency, and strict adherence to data privacy and security standards.

Qualifications: * Upto 3 years of hands-on experience in Machine Learning, AI system design, or Data Engineering.

Strong programming proficiency in Python and solid experience with API integrations.

Demonstrated experience working heavily with Anthropic’s Claude (Opus/Sonnet/Haiku), including advanced prompt engineering, tool use (function calling), and fine-tuning.

Practical experience building agentic AI applications and a deep understanding of how to orchestrate multiple LLM agents to solve complex tasks.

Hands-on experience with orchestration frameworks such as LangChain or LlamaIndex.

Solid foundation in cloud computing environments (AWS, GCP, or Azure) to deploy scalable AI solutions.

Excellent problem-solving skills and the ability to translate ambiguous business requirements into robust technical architectures.