Application Programming Interface (API), Artificial Intelligence (AI), Backend as a Service (BaaS), Memory Hardware, Python Programming/Scripting Language, System Integration (SI), Systems Scalability
LOCATION
Mason, OH
POSTED
Today
Location: Mason, OH Work Mode: Onsite
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).
Requirements:
Experience in designing and building production-grade LLM-powered applications and agentic systems.
Proficiency in end-to-end development of intelligent solutions from architecture to deployment leveraging Python, modern LLM frameworks, and scalable system design.
Expertise in architecting and delivering end-to-end LLM-powered applications and agentic workflows using Python.
Experience in designing and implementing RAG pipelines over enterprise data using embeddings.
Proficiency with vector databases and building multi-step, tool-using agents using frameworks such as LangChain.
Ability to integrate AI systems with APIs, backend services, and cloud platforms.
Skills in establishing evaluation, reliability, and performance strategies (accuracy, latency, cost).