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# Python Developer with AI Experience

- **Company:** Code
- **Location:** Dallas, TX, United States
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Unit Testing, Microsoft Azure, Cloud Computing, Software Quality, Code Review, Computer Programming, Databases, DevOps, Django Web Framework, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, Redis, OpenAI, Cloud Services, Tensorflow, Software Engineering, Unstructured Data, Web Application Frameworks, Google Cloud, Pytorch, Flask (Web Framework), Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Git, Fastapi, Containerization, AI Platforms, Scikit Learn, Kubernetes, HuggingFace, Claude, Google Gemini, Restful APIs, GPT, Software Version Control, Data Pipelines, Docker, Web Api, Microservices
- **Published:** October 31, 2026
- **Apply:** https://www.dice.com/job-detail/1882a0c0-c7fa-48ba-afab-d9562be68f6a

## About the Role

Technical Skills

 * Strong proficiency in Python programming.
 * Experience with AI/ML frameworks such as:

 * TensorFlow
 * PyTorch
 * Scikit-learn
 * Hugging Face Transformers

Experience working with Large Language Models (LLMs) such as:

 * OpenAI GPT
 * Azure OpenAI
 * Claude
 * Gemini

Knowledge of Generative AI concepts including:

 * Retrieval-Augmented Generation (RAG)
 * Vector Databases
 * Prompt Engineering
 * AI Agents

Experience with APIs and web frameworks:

 * FastAPI
 * Flask
 * Django

Familiarity with databases:

 * PostgreSQL
 * MySQL
 * MongoDB
 * Redis

Experience with cloud platforms:

 * Microsoft Azure
 * AWS
 * Google Cloud Platform (Google Cloud Platform)

Understanding of containerization and orchestration:

 * Docker
 * Kubernetes

Experience with version control systems such as Git.

## Description

* Design, develop, test, and maintain Python-based applications and services.
 * Build and integrate AI/ML models into production environments.
 * Develop intelligent automation solutions using Large Language Models (LLMs) and Generative AI technologies.
 * Create and manage RESTful APIs and microservices for AI applications.
 * Process, clean, and analyze structured and unstructured datasets.
 * Implement data pipelines and model deployment workflows.
 * Optimize AI models for performance, scalability, and reliability.
 * Integrate third-party AI platforms, cloud services, and external APIs.
 * Collaborate with Product Managers, Data Scientists, and DevOps teams throughout the software development lifecycle.
 * Monitor, troubleshoot, and improve deployed AI systems.
 * Ensure code quality through unit testing, code reviews, and adherence to best practices.
 * Stay updated with emerging AI, ML, and Python technologies.