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# Lead Developer Generative AI / Python

- **Company:** IDR, Inc.
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Integration, Information Engineering, DevOps, Python (Programming Language), Cloud Services, Software Engineering, Enterprise Data Management, Retrieval-Augmented Generation, Prompt Engineering, Software Application Programming, Generative AI, Agentic-AI, Fastapi, Containerization, Kubernetes, Infrastructure Automation Frameworks, Automation Anywhere, Docker
- **Published:** October 14, 2026
- **Apply:** https://www.dice.com/job-detail/c996bd01-971a-4f5a-bda1-7a9d64d6df62

## About the Role

* 6+ years of professional software development experience with strong Python expertise.
 * Hands-on experience applying Generative AI patterns, including RAG, embeddings, vector stores, prompt design, and agentic AI.
 * Experience building data-centric services and tools within a data engineering organization.
 * Understanding of enterprise data systems and the challenges of developing applications around them.
 * Proven experience building and scaling cloud solutions; AWS preferred, with other cloud platforms considered.
 * Solid DevOps experience, including Infrastructure as Code, Docker/Kubernetes, and CI/CD pipelines.
 * Ability to lead technical delivery, mentor teams, and stay current with emerging AI capabilities.

## Description

* Design and develop Python applications, services, and tools supporting enterprise data and AI workflows.
 * Build GenAI solutions using prompt design, Retrieval-Augmented Generation (RAG), embeddings, vector stores, and AI agents.
 * Develop and scale cloud applications, preferably in AWS.
 * Partner with cross-functional stakeholders to translate business needs into secure, high-impact solutions.
 * Mentor developers and promote AI adoption through knowledge sharing and technical guidance.
 * Improve development workflows through automation, Infrastructure as Code, containerization, and CI/CD.
 * Evaluate emerging AI technologies and apply them to practical business use cases.