Senior Agentic Ai Engineer Python
enableIT
Build production-grade agentic AI applications with Python, LLMs, and RAG while delivering solutions through Google Cloud Platform.As a Senior Agentic AI Engineer, you will develop enterprise LLM applications using LangGraph, LangChain, and Google Cloud. You will troubleshoot retrieval pipelines, evaluate application quality, and create scalable architectures. The work spans design, development, deployment, monitoring, and continuous improvement.Key Responsibilities:
Design and maintain agentic AI and LLM-powered applicationsOrchestrate multi-step workflows with LangGraph or LangChainDevelop embeddings, vector search, and optimized RAG pipelinesEvaluate relevance, groundedness, hallucinations, and regression performanceBuild Python APIs with FastAPI, Flask, or similar frameworksRequirements:
5+ years of professional software development experience2+ years developing agentic AI or LLM applicationsStrong Python programming and software engineering fundamentalsExperience with RAG, LangGraph, LangChain, and vector searchExperience deploying and supporting production LLM applicationsApply Python engineering, RAG expertise, and LLM evaluation skills to build reliable enterprise agentic AI applications.
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Design and maintain agentic AI and LLM-powered applicationsOrchestrate multi-step workflows with LangGraph or LangChainDevelop embeddings, vector search, and optimized RAG pipelinesEvaluate relevance, groundedness, hallucinations, and regression performanceBuild Python APIs with FastAPI, Flask, or similar frameworksRequirements:
5+ years of professional software development experience2+ years developing agentic AI or LLM applicationsStrong Python programming and software engineering fundamentalsExperience with RAG, LangGraph, LangChain, and vector searchExperience deploying and supporting production LLM applicationsApply Python engineering, RAG expertise, and LLM evaluation skills to build reliable enterprise agentic AI applications.
#J-18808-Ljbffr
Vacancy posted more than 2 months ago
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