Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Unis, LLC

AI Implementation Support

Career Insights for Artificial Intelligence Engineer (General)

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on Illinois data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.

$123,999 / year median in Illinois

Explore Career

Job Description

AI Implementation Support Unis, LLC - 2.7 Joliet, IL Job Details Full-time $30 - $35 an hour 7 hours ago Qualifications Application Integration Foreign language proficiency Tooling Writing skills Developing and maintaining backend systems AI-driven automation Production troubleshooting Full Job Description Overview The AI Implementation Support role is a critical link between advanced AI technologies and their successful adoption across business processes. Located onsite in Joliet, IL and Roanoke, TX, This position merges technical expertise in AI and full-stack development with practical collaboration with cross-functional teams to build, deploy, and optimize AI-powered solutions. By aligning with organizational objectives, the role directly contributes to driving efficiency, innovation, and business transformation, especially in a Spanish-speaking environment, ensuring seamless communication with stakeholders and end-users where bilingual proficiency is key. Responsibilities Implement, deploy, and support AI-powered applications and automation workflows, ensuring reliable integration with existing systems tailored to organizational needs. Develop and maintain robust, scalable full-stack applications that operate seamlessly with leading AI platforms, delivering practical and user-friendly solutions. Diagnose, troubleshoot, and optimize deployed AI solutions to enhance their performance, reliability, and usability, while addressing business users' evolving needs. Collaborate with cross-functional teams—including business stakeholders, data scientists, and IT. Stay informed about emerging AI technologies, tools, and industry best practices to continuously enhance the company's AI-enabled capabilities. Minimum Requirements 1. Proven professional experience as a full-stack developer with a demonstrated ability to build, deploy, and maintain applications that integrate AI-driven functionalities. 2. Direct, hands-on experience configuring, implementing, and troubleshooting AI tools and automation workflows in a production environment. 3. Strong verbal and written proficiency in both Spanish and English, with the ability to communicate technical concepts effectively to diverse audiences. 4. Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience demonstrating solid technical and programming expertise. 5. Proficiency with programming languages such as Python, JavaScript, or C#, as well as familiarity with modern AI platforms, frameworks, or APIs. Preferred Requirements 1. Prior experience working on AI implementation projects within a business-driven environment, especially in manufacturing, logistics, or similar industries. 2. Mastery of AI tools or platforms such as TensorFlow, OpenAI, or
AWS AI/ML
services, with a proven track record of practical application. 3. Familiarity with agile project management methodologies and an understanding of DevOps processes related to AI/ML deployment pipelines. Skills 1. Strong analytical and problem-solving skills, with the capability to tailor AI solutions to resolve business-specific challenges. 2. Expertise in full-stack development technologies, including front-end frameworks like React or Angular, and back-end frameworks such as Node.js or Django. 3. Proficiency in database management and querying technologies like SQL or NoSQL databases to ensure efficient data handling in AI workflows. 4. Exceptional communication and interpersonal skills, including the ability to work with diverse stakeholders and conduct technical discussions in both Spanish and English. 5. Proactive mindset with a focus on staying ahead of emerging technologies, trends, and best practices in the fast-evolving landscape of AI and automation solutions.