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Entry Level Python Automation Engineer Jobs in Illinois

SG Cap Trading

Linux Systems Engineer

Chicago, IL · On-site

Join our infrastructure team as a Linux Systems Engineer, where your expertise in Python, Bash, and ... Develop and maintain Python automation scripts for infrastructure management. Build monitoring ...

SG Cap Trading

Linux Systems Engineer

Chicago, IL

Linux Systems Engineer ID: 1018 Location: Chicago, IL More about this job > Description SG is a ... Develop and maintain Python automation scripts for infrastructure management. Build monitoring ...

Old National Bank

Automation Developer

Chicago, IL · On-site

$153K/yr

Automation Developer Job Locations US-MN-Saint Paul | US-IL-Chicago | US-IN-Evansville | US-IN ... Python, AI/ML APIs, low-code platforms). * Collaborate with business stakeholders, IT, and process ...

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Entry Level Python Automation Engineer information

What does an Entry Level Python Automation Engineer do?

An Entry Level Python Automation Engineer is responsible for designing, developing, and maintaining automated scripts and tools using Python to help streamline processes and improve efficiency. They typically work under the guidance of senior engineers to automate repetitive tasks, perform software testing, or manage data workflows. Their daily tasks may include writing Python code, debugging automation scripts, and collaborating with team members to identify opportunities for automation. This role is ideal for those with a foundational understanding of Python and a passion for problem-solving and process improvement.

What types of projects and tasks can an Entry Level Python Automation Engineer expect to work on in their first year?

As an Entry Level Python Automation Engineer, you can expect to work on a variety of tasks such as writing and maintaining scripts to automate repetitive processes, assisting with the development of test automation frameworks, and supporting the deployment of automated solutions in collaboration with more experienced engineers. You may also be responsible for troubleshooting automation scripts, documenting processes, and participating in code reviews. The work environment is typically team-oriented, and you will likely collaborate closely with developers, QA analysts, and IT support, which provides valuable opportunities to learn and grow your technical and professional skills.

What is the difference between Entry Level Python Automation Engineer vs QA Tester?

AspectEntry Level Python Automation EngineerQA Tester
Required SkillsPython scripting, automation tools, basic testing knowledgeManual testing, test case creation, defect tracking
CertificationsNone mandatory, Python knowledge preferredISTQB or similar testing certifications
Work EnvironmentSoftware development teams, automation projectsQuality assurance teams, testing labs
Industry UsageTech, finance, healthcare, any industry with software productsPrimarily software and tech companies

While both roles involve quality assurance, the Entry Level Python Automation Engineer focuses on developing automated testing scripts using Python, whereas the QA Tester primarily performs manual testing and defect reporting. The automation engineer role requires programming skills and automation tools knowledge, making it more technical. Both roles are essential in software development, but the automation engineer often works closely with developers to streamline testing processes.

What are the key skills and qualifications needed to thrive as an Entry Level Python Automation Engineer, and why are they important?

To thrive as an Entry Level Python Automation Engineer, a solid grasp of Python programming, basic software development principles, and familiarity with automation frameworks is essential, often supported by a relevant degree or certification. Experience with tools like Selenium, PyTest, Jenkins, and version control systems such as Git is typically required. Strong analytical thinking, attention to detail, and effective communication set candidates apart in this role. These skills and qualities are crucial for efficiently developing, testing, and maintaining automation solutions that enhance productivity and software quality.
What are the most commonly searched types of Python Automation Engineer jobs in Illinois? The most popular types of Python Automation Engineer jobs in Illinois are:
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Entry Level Python Automation Engineer jobs near you
Infographic showing various Entry Level Python Automation Engineer job openings in Illinois as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Chicago, IL • On-site

Other

Re-posted 22 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply