AI Engineer - LLM & Agentic Systems (Python)

Skill 1 Yrs of Exp 10+ - AI Engineer - LLM & Agentic Systems (Python)

Skill 2 - Yrs of Exp 6+ - LLM Application Development - Hands-on experience with Large Language Models, prompt engineering, and orchestration

SKill 3 - Yrs Of Exp - 6+ - RAG Architecture Experience - Building Retrieval-Augmented Generation pipelines using embeddings and vector databases

SKill 4 - Yrs Of Exp - 6+ - Agentic AI Frameworks - Experience with AI agent frameworks like LangChain, LangGraph, or AutoGen

SKill 5 - Yrs Of Exp - 6+ - Cloud-Based System Design - Designing and deploying scalable cloud-native AI applications and integrations

Location - MASON, OH, Role Overview We are seeking a senior AI engineer 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) Key Qualifications Strong Python expertise with experience building and deploying production-grade backend systems Hands-on experience developing applications using LLMs, including prompt engineering and orchestration Proven experience with RAG architectures, embeddings, and vector databases Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen) Strong system design skills with experience building and scaling cloud-based applications