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# AI Engineer

- **Company:** Artech
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Salary:** $83,200.0 - $91,520.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Agile Methodology, Artificial Intelligence, Cloud Computing, Data Visualization, Python (Programming Language), Natural Language Processing, NoSQL, Tensorflow, Software Deployment, Software Engineering, Software Organization, LangChain, Retrieval-Augmented Generation, Agentic-AI, Machine Learning Operations, Automation Anywhere
- **Published:** November 2, 2026
- **Apply:** https://www.juju.com/job/16_cd11c318

## About the Role

Skills: Python, Natural Language Processing (NLP), NoSQL GraphDB, Python, LangChain, LangGraph, RAG & AgenticAI
Experience Required: 5-6Role Overview

We are seeking an AI Engineer with strong experience in Python, LangChain, LangGraph, RAG, and Agentic AI. The ideal candidate will develop and maintain AI applications, design modular AI pipelines, and build scalable AI-driven solutions in collaboration with cross-functional teams., * Python - strong proficiency is essential.

 * LangChain - hands-on experience required.
 * LangGraph - hands-on experience required.
 * RAG & Agentic AI experience.
 * Natural Language Processing (NLP).
 * Strong problem-solving and troubleshooting skills.
 * Experience collaborating with cross-functional teams.
 * Understanding of scalable AI application development.

Desired / Preferred Skills

 * Experience with machine learning frameworks.
 * Knowledge of cloud platforms for AI deployment.
 * Familiarity with data visualization tools.
 * Knowledge of NoSQL / GraphDB technologies.
 * Strong understanding of software development best practices.
 * Experience working in Agile environments.

## Description

* Develop and maintain AI applications using Python.
 * Design and implement modular AI pipelines using LangChain.
 * Build and enhance AI workflows and knowledge structures using LangGraph.
 * Develop RAG (Retrieval-Augmented Generation) solutions and Agentic AI capabilities.
 * Collaborate with cross-functional teams to deliver AI features and solutions.
 * Troubleshoot, optimize, and improve AI components for performance and scalability.
 * Apply NLP techniques to develop effective AI-driven features.
 * Follow software development best practices and agile methodologies.