What are the responsibilities and job description for the Lead AI/ML Engineer with RAG and LLM- Onsite MASON, OH position at Amaze Systems Inc?
Job Title: AI/ML Engineer With LLM and RAG
Location: -MASON, OH
Onsite Requirement - Onsite
On Contract
AI/ML developers We are seeking AI/ML engineers to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions—from architecture to deployment—leveraging Python, modern LLM frameworks, and scalable system design. Key Responsibilities Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python Design and implement RAG pipelines over enterprise data using embeddings and vector databases Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain Integrate AI systems with APIs, backend services, and cloud platforms Establish evaluation, reliability, and performance strategies (accuracy, latency, cost) AI/ML Engineer LLM & Agentic Systems (Python)- Must Have Skills
Skill 1 – Yrs of Exp – 10 - design and build production-grade LLM-powered applications and agentic systems Skill 2 - Yrs of Exp – 6 - End-to-end development of intelligent solutions from architecture to deployment leveraging Python, modern LLM frameworks, and scalable system design SKill 3 - Yrs Of Exp - 6 - Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python Design and implement RAG pipelines over enterprise data using embeddings SKill 4 - Yrs Of Exp - 6 - vector databases Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain Integrate AI systems with APIs, backend services, SKill 5 - Yrs Of Exp - 6 - cloud platforms Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)