Up to 3 years of hands-on experience in Machine Learning, AI system design, or Data Engineering.
Strong programming proficiency in Python with experience in API integrations.
Experience with Anthropic's Claude, focusing on prompt engineering and fine-tuning.
Practical experience building agentic AI applications and orchestrating LLM agents.
Expertise in orchestration frameworks like LangChain or LlamaIndex.
Familiarity with cloud computing environments (AWS, GCP, or Azure) for deploying scalable AI solutions.
Responsibilities
Design, develop, and deploy scalable AI/ML pipelines and agent architectures tailored to client needs.
Integrate and optimize LLMs into enterprise applications, specializing in Anthropic's Claude capabilities.
Build RAG systems using modern vector databases for actionable insights.
Develop workflows using frameworks like LangChain to enable multi-step reasoning.
Collaborate with cross-functional teams to implement auxiliary models as needed.
Monitor and evaluate model performance for accuracy, cost-efficiency, and compliance with data privacy standards.
Benefits
Hybrid/Remote work options available.
Opportunities for career growth within a cutting-edge technology environment.
Collaborative and innovative work culture emphasizing client partnership.
Access to advanced tools and technologies in the AI space.
Full Job Description
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.
