> Markdown version of [/jobs/ext/1979131-python-ai-developer](https://www.wearedevelopers.com/jobs/ext/1979131-python-ai-developer). 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 AI Developer

- **Company:** Pronix Inc
- **Location:** Malvern, PA, United States
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Software Applications, Computer Programming, Software Debugging, Identity and Access Management, JSON, Python (Programming Language), Systems Integration, YAML, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Generative AI, AWS Lambda, Backend, Cloudwatch, Api Gateway, Software Coding, Restful APIs, GPT, Automation Anywhere, Api Management, Serverless Computing
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/f5052558-0302-4d51-95ee-e17730a33932

## About the Role

* Strong programming experience in Python
 * Hands-on experience with Large Language Models (LLMs) such as Amazon Bedrock, Anthropic Claude, OpenAI GPT, or similar
 * Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions
 * Hands-on experience with LangChain or similar AI orchestration frameworks
 * Experience with AWS services such as:
 + AWS Lambda
 + Amazon S3
 + API Gateway
 + IAM
 + CloudWatch
 + Step Functions (preferred)
 * Experience building and consuming REST APIs
 * Knowledge of JSON, YAML, and API integrations
 * Experience with Git and version control systems

## Description

We are seeking a skilled Python AI Developer with experience in building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AWS cloud services. The ideal candidate will have strong Python development skills and hands-on experience integrating modern AI frameworks into scalable enterprise applications., * Design, develop, and maintain AI-powered applications using Python.

 * Build intelligent solutions using LLMs, LangChain, and RAG architecture.
 * Integrate enterprise data sources with AI applications.
 * Develop scalable REST APIs and backend services.
 * Implement AWS cloud-based serverless solutions using Lambda and S3.
 * Optimize prompts and AI workflows for performance and accuracy.
 * Collaborate with cross-functional teams to deliver production-ready AI solutions.
 * Troubleshoot, debug, and enhance existing applications.

Follow coding standards, documentation, and best practices.


## Related Videos

- [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application)
- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json)
- [CI/CD with Github Actions](https://www.wearedevelopers.com/videos/856-ci-cd-with-github-actions)
- [Make it simple, using generative AI to accelerate learning](https://www.wearedevelopers.com/videos/969-make-it-simple-using-generative-ai-to-accelerate-learning)
- [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs)

## Related Articles

- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
- [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn)
- [Dev Digest 122 - Cracks in the polyfill](https://www.wearedevelopers.com/magazine/457-dev-digest-122-cracks-in-the-polyfill)