
Mason KY
Job Description:
>> Design and build production-grade LLM-powered applications and agentic systems
>> 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:
>> 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