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Graduate In Usa Jobs in Chicago, IL (NOW HIRING)

Must be a current enrolled student or recent graduate in a computer science, AI, IT, or related technical program. * Must have a minimum grade point average (GPA) of 3.0 on a 4.0 scale. * Coursework ...

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Graduate In Usa information

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How much do graduate in usa jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for graduate in usa in Chicago, IL is $14.31, according to ZipRecruiter salary data. Most workers in this role earn between $13.37 and $15.34 per hour, depending on experience, location, and employer.

What is the difference between Graduate In Usa vs Intern in Usa?

AspectGraduate In UsaIntern in Usa
Required CredentialsDegree or ongoing studiesUsually students or recent graduates
Work EnvironmentFull-time, professional settingPart-time or temporary, learning-focused
Employer & Industry UsageEmployers hiring graduates for entry-level rolesOrganizations offering training or experience
Search & Comparison IntentUnderstanding entry-level opportunities for graduatesSeeking internship opportunities or experience

In summary, a Graduate In Usa typically refers to individuals who have completed their degree and are seeking full-time entry-level positions, while an Intern in Usa is usually a student or recent graduate gaining practical experience through temporary or part-time roles. Both are important for career development but serve different purposes in the job market.

What is a graduate in the USA?

Graduates in the USA are individuals who have successfully completed a degree program at a college or university, such as a bachelor's, master's, or doctoral degree. After graduation, they receive a diploma certifying their academic achievement. Graduates often seek employment, pursue further education, or engage in research or professional development. In the US, the term 'graduate' can also specifically refer to someone who has completed a postgraduate program (master's or doctorate), but it is commonly used for anyone who has finished a degree.

What are the common challenges recent graduates face when starting their first job in the USA?

Recent graduates in the USA often encounter challenges such as adjusting to workplace expectations, managing time effectively, and navigating professional communication. Transitioning from an academic environment to a corporate or professional setting can require adapting to new responsibilities, meeting deadlines, and collaborating within diverse teams. Many also find it helpful to seek mentorship and participate in training programs to accelerate their learning curve and successfully integrate into the organization.

What are the key skills and qualifications needed to thrive as a graduate in the USA?

To thrive as a recent graduate in the USA, you typically need a relevant academic degree, foundational knowledge in your field, and internship or practical experience. Familiarity with productivity software, research tools, or industry-specific platforms is often expected depending on your chosen career path. Strong communication, adaptability, and problem-solving skills help set you apart during job searches and in the workplace. These skills and experiences are crucial for transitioning smoothly from academia to professional environments and for long-term career growth.
What are popular job titles related to Graduate In Usa jobs in Chicago, IL? For Graduate In Usa jobs in Chicago, IL, the most frequently searched job titles are:

Full-time

Re-posted 3 days ago


Hendrickson rating

7.2

Company rating: 7.2 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

319th of 487 rated machine equipment manufacturers


Job description

Position Purpose:
The Artificial Intelligence (AI) IT Intern assists with the design, development, and deployment of enterprise-grade artificial intelligence solutions, with a focus on Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend Application Programming Interface (API) development, cloud deployment, and enterprise data integration.
Essential Functions:
  • Assist in the design, development, testing, and deployment of AI-powered applications for enterprise use cases, including Generative AI solutions.
  • Assist in implementing LLM-based and agentic AI workflows using LangChain, LangGraph, and/or related design patterns.
  • Assist in developing, optimizing, and maintaining Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, parsing, extraction, indexing, and retrieval.
  • Co-build and co-maintain backend APIs and services using.
  • Learn to integrate AI applications with enterprise data platforms and systems, including Cosmos Database, structured query language (SQL) server, and internal applications.
  • Contribute to prompt engineering, evaluation, and response-quality improvement initiatives.
  • Help support cloud deployment, monitoring, and performance optimization of AI applications in Azure environments.
  • Participate in continuous integration (CI)/continuous delivery (CD) pipelines, version control, and release processes using Azure DevOps.
  • Collaborate with cross-functional teams to troubleshoot issues, improve performance, and enhance system scalability.
  • Document architectures, workflows, technical decisions, and implementation details to support maintainability and knowledge sharing.
  • Follow established security, compliance, and development standards and apply emerging AI and software engineering best practices.
  • Other duties as assigned.

Education and Training
  • Must be a current enrolled student or recent graduate in a computer science, AI, IT, or related technical program.
  • Must have a minimum grade point average (GPA) of 3.0 on a 4.0 scale.
  • Coursework or hands-on experience in software development or programming is essential.

Minimum Qualifications
  • Strong interest in applied AI and software development within an enterprise environment is necessary.
  • Strong foundation in Python programming, gained through coursework, projects, internships, and/or self-study is essential.
  • Basic understanding of backend development and APIs, including how services communicate, and exchange data is required.
  • Foundational knowledge of Generative AI concepts, including large language models (LLMs) and prompt engineering is crucial.
  • Exposure to databases, including relational databases and/or NoSQL databases is necessary.
  • Interest in cloud-native development and AI system deployment, preferably within Microsoft Azure or a comparable platform is required.
  • Basic exposure to development workflows, such as version control and CI/CD concepts is essential.
  • Strong analytical, communication, and problem-solving skills, with the ability to collaborate effectively in a team environment is required.
  • Demonstrated willingness to learn and adapt to new technologies and best practices are necessary.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.

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