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# AI Engineer

- **Company:** EIMAGINE.COM INC
- **Location:** Indianapolis, IN, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Code Reuse, Continuous Integration, Extract Transform Load (ETL), Database Applications, Software Debugging, Python (Programming Language), Machine Learning, Tensorflow, Software Construction, Software Deployment, Cloud Platform System, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Git, Build Management, Containerization, Scikit Learn, Kubernetes, Information Technology, Production Code, Api Design, Software Version Control, Data Pipelines, Docker, Microservices
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fd8303728da91103

## About the Role

* 3+ years of hands-on experience building software solutions, with exposure to AI, machine learning, or data-driven applications
 * Proficiency in Python and experience writing production-quality code
 * Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn
 * Familiarity with building and deploying applications in cloud environments (Azure, AWS, or GCP)
 * Experience working with APIs and integrating external services, including AI/LLM APIs (e.g., OpenAI, Azure OpenAI, Gemini)
 * Exposure to generative AI concepts such as prompt engineering or retrieval-augmented generation (RAG)
 * Understanding of data pipelines and basic data engineering concepts (ETL/ELT)
 * Familiarity with Git, CI/CD pipelines, and containerization tools like Docker (Kubernetes is a plus)
 * Strong problem-solving skills and a willingness to learn and adapt in a fast-moving space
 * Comfortable working in a collaborative, client-facing environment

Education:

 * Bachelor's degree in information technology, computer science or equivalent job-related experience required.

## Description

* Build and deploy end-to-end AI/ML solutions, from data pipelines and feature engineering to model training and inference
 * Develop and maintain data pipelines for ingesting, transforming, and preparing data for analytics and machine learning
 * Write clean, modular, and maintainable code to support scalable AI applications
 * Integrate machine learning models into applications using APIs, services, and microservices
 * Test, debug, and improve model performance to ensure reliability and accuracy in production
 * Work with large datasets to uncover insights and improve model outcomes
 * Use modern development practices including version control, CI/CD, and containerization to ship high-quality code
 * Experiment with new AI tools, frameworks, and technologies to solve client problems more effectively
 * Collaborate with cross-functional teams to prototype, iterate, and deliver solutions quickly
 * Contribute to reusable code, tools, and best practices that improve team efficiency
 * Partner with clients to understand problems, gather feedback, and deliver solutions that meet real business needs


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