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# AI Engineer

- **Company:** Diverse Lynx LLC
- **Location:** Tampa, FL, United States
- **Experience:** Experienced
- **Salary:** $104,000.0 - $114,400.0
- **Contract:** Temporary to permanent
- **Skills:** Agile Methodology, Artificial Intelligence, Data Visualization, Graph Database, Python (Programming Language), Lynx, Natural Language Processing, Network Connections, NoSQL, Tensorflow, Software Organization, Machine Learning Operations
- **Published:** August 21, 2026
- **Apply:** https://www.careerjet.com/job/us71df619090a9fa9bc05b46c42d5d19e7/eaa

## About the Role

Experience with machine learning frameworks can enhance the candidates profile. Knowledge of cloud platforms for deploying AI solutions is beneficial. Familiarity with data visualization tools can aid in presenting AI results. Understanding of software development best practices is a plus. Experience in agile methodologies can improve team collaboration.Proficiency in Python programming is essential for developing AI applications. Experience with LangChain and LangGraph is crucial for implementing AI solutions. Strong problem-solving skills are necessary for troubleshooting and optimizing AI components. Familiarity with NLP techniques is important for building effective AI-driven features. Collaboration with cross-functional teams is a must to ensure successful project delivery.
Skills: Python and Natural Language Processing (NLP) and NoSQL GraphDB
Experience Required: 4-6
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

## Description

Develop and maintain AI applications using Python. Design solutions with LangChain for modular AI pipelines. Build knowledge graphs with LangGraph to improve data connectivity. Collaborate with teams to deliver AI features. Optimize workflows for performance and scalability.


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