Job Title: AI/ML Engineer
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
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.
Skills:Machine Learning,Python
