> Markdown version of [/jobs/ext/4702520-python-developer-with-gen-ai](https://www.wearedevelopers.com/jobs/ext/4702520-python-developer-with-gen-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Python Developer with Gen AI

- **Company:** Jean Martin, Inc
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Automation of Tests, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, Data Structures, Software Design Patterns, Django Web Framework, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, Natural Language Processing, NoSQL, Object-Oriented Software Development, Performance Tuning, Recommender Systems, Redis, Tensorflow, Software Engineering, Systems Architecture, Google Cloud, Chatbots, Pytorch, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Concurrency, Prompt Engineering, Generative AI, Agentic-AI, Git, Fastapi, Containerization, Scikit Learn, Kubernetes, Information Technology, Evaluation of Large Language Models, Restful APIs, Docker, Microservices
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/08ab798f-f075-4d23-a649-7d07e479d872

## About the Role

Bachelor's or master's degree in computer science, Engineering, Information Technology, or a related field.
8+ years of professional software development experience, with substantial experience in Python.
Strong proficiency in Python and experience with frameworks such as:
FastAPI
Flask
Django
PyTorch or TensorFlow
Scikit-learn
Strong understanding of software engineering principles, object-oriented programming, design patterns, and system architecture.
Proven experience developing and deploying AI/ML solutions in production.
Experience with one or more of the following:
Natural Language Processing
Generative AI
Large Language Models
Computer Vision
Recommendation Systems
Predictive Analytics
Conversational AI
Practical experience with LLM application development, including:
Prompt engineering
RAG architecture
Embeddings
Vector databases
Fine-tuning or model customization
AI agents and tool calling
LLM evaluation and monitoring
Experience designing and consuming RESTful APIs and microservices.
Strong knowledge of databases, including relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis.
Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
Experience with containerization and deployment technologies such as Docker, Kubernetes, and CI/CD pipelines.
Familiarity with Git-based development workflows and automated testing.
Strong understanding of data structures, algorithms, concurrency, and performance optimization.
Excellent problem-solving, communication, and collaboration skills