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# AI Developer/ AI Engineer (Python Development background)

- **Company:** Sage IT Inc
- **Location:** Reston, VA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Software Quality, Continuous Integration, Data Cleansing, DevOps, Django Web Framework, Python (Programming Language), Machine Learning, Natural Language Processing, NoSQL, NumPy, Tensorflow, SQL Databases, Unstructured Data, Data Processing, Enterprise Software Applications, Application Enhancement Tool, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Model Validation, Generative AI, Backend, Keras, Git, Fastapi, Pandas, Pyspark, Scikit Learn, Kubernetes, HuggingFace, Restful APIs, Api Management, Docker
- **Published:** November 3, 2026
- **Apply:** https://www.thejobnetwork.com/job/d02a5c30-1055-4b32-89b4-0ff82da8fb39/ai-developer-ai-engineer-python-development-background

## About the Role

We are seeking a highly skilled AI Developer with a strong Python development background to design, develop, and deploy AI/ML-based applications and solutions. The ideal candidate should have hands-on experience in Python programming, machine learning frameworks, API integrations, and cloud technologies, along with a passion for building scalable AI-driven systems., * Strong experience in Python development.

 * Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or Hugging Face.
 * Knowledge of Generative AI, LLMs, NLP, or Computer Vision concepts.
 * Experience with REST APIs, FastAPI, Flask, or Django.
 * Hands-on experience with data processing libraries like Pandas, NumPy, and PySpark.
 * Familiarity with vector databases, embeddings, and RAG architecture is a plus.
 * Experience with cloud platforms such as AWS, Azure, or GCP.
 * Knowledge of Docker, Kubernetes, CI/CD pipelines, and Git.
 * Understanding of SQL/NoSQL databases.
 * Strong problem-solving and analytical skills.

## Description

* Design, develop, and implement AI/ML solutions using Python.
 * Build and optimize machine learning and deep learning models.
 * Develop scalable backend services and APIs for AI applications.
 * Work with structured and unstructured data for model training and analysis.
 * Integrate AI models with enterprise applications and cloud platforms.
 * Collaborate with cross-functional teams including Data Engineers, DevOps, and Business stakeholders.
 * Perform data preprocessing, feature engineering, and model evaluation.
 * Monitor, troubleshoot, and improve model performance in production environments.
 * Implement automation workflows and AI-powered tools.
 * Maintain code quality, documentation, and best development practices.