AI Engineer at eimagine

Indianapolis, Indiana, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Jun, 26

Salary

0.0

Posted On

28 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PyTorch, TensorFlow, Scikit-learn, Azure, AWS, GCP, APIs, LLM APIs, Prompt Engineering, RAG, ETL/ELT, Git, CI/CD, Docker, Kubernetes

Industry

IT Services and IT Consulting

Description

Overview At eimagine, we know that your best work happens when you live your best life and bring your unique talents to what you do. That’s why we’re intentional about fostering a remote-enabled environment where our people can thrive. Recognized as a Best Places to Work since 2015, we are a team of humbly confident professionals who take pride in our craft, continuously learn, and support one another along the way. For over 25 years, we’ve helped clients navigate technology and business change while delivering meaningful outcomes that drive their success. Due to continued growth, we are seeking an AI Engineer to build and deliver AI-powered solutions that solve real business problems for our clients. This role is hands-on and focused on developing, deploying, and improving AI/ML solutions in real-world environments. You’ll work closely with teams and clients to turn ideas into working software that creates measurable value. If you’re passionate about turning emerging technologies into real-world solutions and want to partner with clients to create meaningful business value, this could be your next step. Join us as we #eimaginebetter. Description of Duties: 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 Desired Skills & Experience 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.

Responsibilities

The AI Engineer will be responsible for building and deploying end-to-end AI/ML solutions, including data pipelines, model training, and inference, while integrating these models into applications using modern development practices. This role requires collaborating with teams and clients to turn emerging technologies into measurable business value through working software.