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# Generative AI Developer

- **Company:** System One
- **Location:** Birmingham, AL, United States
- **Experience:** Expert
- **Salary:** $108,600.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Application Services, Unit Testing, Databases, Continuous Integration, Software Debugging, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Cloud Services, Search Technologies, Secure Coding, Software Deployment, Software Engineering, Software Systems, Enterprise Data Management, Software Organization, Enterprise Software Applications, Large Language Models, Prompt Engineering, Generative AI, Git, Amazon Bedrock, Restful APIs
- **Published:** October 23, 2026
- **Apply:** https://www.thejobnetwork.com/job/be4cb9aa-d3f3-47d9-93a3-4f3f432b60a9/generative-ai-developer

## About the Role

* 5+ years of hands on Python development experience, including development of enterprise applications or services.
 * Hands on experience developing Generative AI applications or AI enabled software solutions.
 * Strong understanding of Large Language Models (LLMs) and how they are incorporated into applications.
 * Experience working with LLM APIs, prompt engineering, and Generative AI development patterns.
 * Experience developing and deploying applications in AWS cloud environments.
 * Strong experience developing REST APIs, back end services, and application integrations using Python.
 * Experience integrating applications with databases, APIs, and enterprise data sources.
 * Understanding of techniques used to provide enterprise data and context to LLM powered applications; experience with Retrieval Augmented Generation (RAG) is highly desirable.
 * Familiarity with vector search, embeddings, or vector databases is a plus.
 * Experience with AWS AI/ML and application services is preferred; exposure to Amazon Bedrock is particularly valuable.
 * Strong understanding of the Software Development Life Cycle (SDLC) and modern software development practices.
 * Experience with unit testing, debugging, troubleshooting, and resolving application defects.
 * Familiarity with Git, CI/CD pipelines, and automated software delivery practices.
 * Understanding of secure development practices, particularly when working with enterprise data and AI applications.
 * Strong analytical and problem solving skills with the ability to turn business use cases into working technical solutions.
 * Experience working in financial services, mortgage, bank environments.

## Description

* Develop and enhance Generative AI applications and services using Python.
 * Build application functionality that incorporates Large Language Models (LLMs) and Generative AI capabilities.
 * Integrate AI capabilities with existing enterprise applications, APIs, databases, and cloud services.
 * Develop and support AI solutions within an AWS based environment.
 * Work with prompt engineering, LLM APIs, and related Generative AI development techniques to address business use cases.
 * Develop APIs and back end services that enable applications to interact with AI models and supporting data sources.
 * Participate throughout the SDLC, including requirements analysis, development, unit testing, troubleshooting, defect resolution, and implementation support.
 * Write clean, maintainable, testable Python code suitable for enterprise applications.
 * Perform unit testing and troubleshoot issues identified during development and testing cycles.
 * Collaborate with developers, QA teams, business analysts, and other technical stakeholders to deliver AI enabled application capabilities.
 * Follow established enterprise development, security, testing, and deployment standards.
 * Stay current with evolving Generative AI technologies and apply relevant capabilities to practical business problems.