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# AI Developer

- **Company:** Generative Ai
- **Location:** Birmingham, AL, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $93,600.0 - $124,800.0
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Frameworks, Software Applications, Microsoft Azure, Business Software, Cloud Computing, Cloud Engineering, Information Systems, Continuous Integration, Database Development, DevOps, Python (Programming Language), Open Source Technology, OpenShift, Software Construction, Software Deployment, Software Engineering, Systems Integration, Datadog, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Software Application Programming, Generative AI, Containerization, AI Platforms, Kubernetes, Information Technology, Microservices
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/4a67d0fd-d2ed-4956-bef9-59084423ccb2

## About the Role

* 3+ years of software engineering experience with strong Python development skills
 * Hands-on experience building AI-powered applications using LangChain, LangGraph, or similar agent frameworks
 * Experience developing applications utilizing LLMs and Generative AI technologies
 * Familiarity with Model Context Protocol (MCP) tools, integrations, or application development
 * Experience with AWS Bedrock, Azure AI Foundry, Azure OpenAI, or similar enterprise AI platforms
 * Experience deploying and managing containerized applications using Kubernetes or OpenShift
 * Strong understanding of software engineering best practices, APIs, microservices, and cloud-native development
 * Experience working within Agile software development teams
 * Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field preferred
 * Experience building multi-agent AI systems (preferred)
 * Experience implementing RAG architectures and vector database solutions (preferred)
 * Familiarity with AI observability platforms such as Arize, LangSmith, Langfuse, or Datadog (preferred)
 * Experience deploying or hosting open-source LLMs using vLLM or similar inference frameworks (preferred)
 * Knowledge of prompt engineering, agent orchestration, and AI application evaluation methodologies (preferred)
 * Experience building enterprise-scale AI applications in regulated industries (preferred)
 * Exposure to cloud-native architectures, DevOps practices, and CI/CD pipelines (preferred)

## Description

Our client is seeking an experienced AI Developer to design, build, and deploy AI-powered applications that address the growing demand for Generative AI solutions across the organization. This contract-to-hire opportunity is ideal for a hands-on engineer with a proven track record in developing production-ready AI applications using Python, modern agentic frameworks such as LangChain and LangGraph, and cloud AI services like AWS Bedrock or Azure AI Foundry. You will collaborate closely with architects, business stakeholders, and engineering teams to transform AI concepts into scalable, enterprise-ready solutions. The role emphasizes building agent-based applications, integrating large language models (LLMs), implementing retrieval-augmented generation (RAG) workflows, and deploying containerized AI applications in Kubernetes or OpenShift environments. You will also contribute to AI development standards, reusable frameworks, and best practices, while evaluating emerging AI tools and
supporting production deployments. This position offers opportunities for career growth, exposure to high-visibility AI initiatives, and a comprehensive benefits package.
WHAT YOU'LL DO

 * Design, develop, and deploy AI-powered applications using Python and modern AI development frameworks
 * Build Generative AI solutions leveraging LangChain, LangGraph, and enterprise AI platforms
 * Develop agent-based applications and workflows utilizing Model Context Protocol (MCP) tools and integrations
 * Integrate Large Language Models (LLMs) into enterprise applications via AWS Bedrock, Azure AI Foundry, or similar platforms
 * Develop Retrieval-Augmented Generation (RAG) workflows and integrate vector databases as needed
 * Create and deploy containerized AI applications within Kubernetes and OpenShift environments
 * Collaborate with architects, product teams, engineers, and business stakeholders to translate requirements into scalable AI solutions
 * Implement testing, monitoring, and observability practices to ensure reliable AI application performance
 * Optimize AI applications for scalability, security, and operational efficiency
 * Contribute to AI development standards, reusable frameworks, and engineering best practices
 * Evaluate emerging AI tools, frameworks, and technologies to improve solution delivery
 * Support production deployments and ongoing enhancements of AI-driven business applications


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