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# AI Engineer / AI Builder

- **Company:** Crowdplum Global Services LLC
- **Location:** Springfield, IL, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Databases, JSON, Python (Programming Language), Automation of Marketing, Tensorflow, Systems Integration, Google Cloud, Application Enhancement Tool, Chatbots, Microsoft Power Automate, Large Language Models, Prompt Engineering, Zapier, Generative AI, Git, Fastapi, Nintex, Restful APIs, Streamlit Framework, Docker
- **Published:** September 24, 2026
- **Apply:** https://www.dice.com/job-detail/a9cb6728-fe44-4f6b-af5e-bde68c841dd1

## About the Role

· Strong hands-on Python development experience.

· Experience building Generative AI / LLM applications.

· Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM APIs.

· Strong understanding of prompt engineering, embeddings, vector databases, and RAG.

· Experience with REST APIs, JSON, databases, and system integrations.

· Experience building AI agents or agentic workflows.

· Familiarity with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.

· Experience with Git, Docker, and cloud platforms (AWS/Azure/Google Cloud Platform).

· Strong problem-solving skills and ability to work independently in a fast-paced environment.

Nice to Have:

· Experience with Power Automate, n8n, Zapier, or similar automation platforms.

· Experience with FastAPI, Streamlit, or similar tools for quickly building internal applications.

· Experience with Azure AI / AWS Bedrock / Google Vertex AI.

· Knowledge of AI security, governance, and responsible AI practices.

## Description

We are looking for a hands-on AI Engineer / AI Builder to prototype, develop, and deploy internal AI-powered tools and workflow automations. The ideal candidate is a strong coder who can quickly turn business requirements into working AI solutions and proof-of-concepts., · Build and prototype AI-powered internal tools, applications, and automations.

· Develop solutions using Python and modern AI/ML frameworks and APIs.

· Integrate LLMs, Generative AI APIs, and AI agents into internal workflows.

· Build RAG-based applications, document processing, chatbots, and intelligent assistants.

· Develop integrations with internal systems, databases, APIs, and SaaS platforms.

· Create rapid POCs/MVPs, test ideas, and iterate based on user feedback.

· Automate repetitive business processes using AI and workflow automation.

· Work with stakeholders to identify high-value opportunities for AI adoption.

· Deploy and maintain AI prototypes in cloud or internal environments.

· Ensure solutions are secure, scalable, reliable, and practical for business use.


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