Build and evaluate prompt-based and tool-augmented systems
Develop data pipelines to support AI model training and evaluation
Deploy production-ready AI systems
Collaborate on experimentation and model performance optimization Requirements
Not Met Priorities
What still needs stronger evidence
Requirements
Design and implement LLM-driven agent workflows
Deploy production-ready AI systems
Collaborate on experimentation and model performance optimization Requirements
Strong Python programming experience
Experience with large language models (Hugging Face, OpenAI, etc.)
Experience with agent frameworks (LangChain, ReAct, etc.)
Experience building and deploying ML/AI systems
Familiarity with embeddings and vector databases
Reinforcement learning experience
Production deployment experience (AWS, GCP, Azure)
Experience working with structured and unstructured data pipelines
Preferred Skills
Experience with agent frameworks (LangChain, ReAct, etc.)
Familiarity with embeddings and vector databases
Solid understanding of machine learning fundamentals Nice to Have
Reinforcement learning experience
Production deployment experience (AWS, GCP, Azure)
Experience working with structured and unstructured data pipelines
Salary is 140k to 170k + bonus We are seeking a Data Scientist with strong Python skills and hands-on experience designing, building, and deploying LLM-based agents that can plan, reason, and interact with tools and APIs. What You'll Do Design and implement LLM-driven agent workflows Build and evaluate prompt-based and tool-augmented systems Develop data pipelines to support AI model training and evaluation Deploy production-ready AI systems Collaborate on experimentation and model performance optimization Requirements Strong Python programming experience Experience with large language models (Hugging Face, OpenAI, etc.) Experience with agent frameworks (LangChain, ReAct, etc.) Experience building and deploying ML/AI systems Familiarity with embeddings and vector databases Solid understanding of machine learning fundamentals Nice to Have Reinforcement learning experience Production deployment experience (AWS, GCP, Azure) Experience working with structured and unstructured data pipelines
Phaxis
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Nashville, TN