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 applications

Orchestrate multi-step workflows with LangGraph or LangChain

Develop embeddings, vector search, and optimized RAG pipelines

Evaluate relevance, groundedness, hallucinations, and regression performance

Build Python APIs with FastAPI, Flask, or similar frameworks

Requirements

5+ years of professional software development experience

2+ years developing agentic AI or LLM applications

Robust Python programming and software engineering fundamentals

Experience with RAG, LangGraph, LangChain, and vector search

Experience deploying and supporting production LLM applications

Apply Python engineering, RAG expertise, and LLM evaluation skills to build reliable enterprise agentic AI applications.

📌 Senior Agentic AI Engineer Python (Winnipeg)
🏢 EnableIT
📍 Winnipeg