Quick overview
SeniorityMid Senior
Work modeHybrid
LocationDallas, TX, United States
DjangoDockerFastAPIFlaskMicroservicesMongoDBMySQLGitAWSScikit-learnGPTGoogle CloudHugging FacePyTorchPythonRedisTensorFlowGenerative AIRESTAzurePostgreSQLKubernetesPrompt EngineeringRAG
Job description
Title: Python Developer with AI Experience
Location: Dallas, TX/Charlotte, NC (Hybrid)
Duration: Long-term Contract
Key Responsibilities
- 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.
Required Skills & Qualifications
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.
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