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Mid Level Python Developer Jobs in Naperville, IL

blueStone

Ruby Developer

Chicago, IL · On-site

Looking for an mid level software developer to work on our Backend platform. If you are interested ... debugging skills (Ruby, Python, C++) Experience working with Algorithms in a software ...

Arete Technologies, Inc.

.Net Developer

Chicago, IL

$49.75 - $65.75/hr

SQL Server (Senior Level) * ASP.NET (Mid-Level) * Oracle Database & PL/SQL (Mid-Level) * MVC (Mid-Level) * Oracle Application Technology (Mid-Level) * Visual Basic (Mid-Level) * Experience in ...

Anagh Technologies, Inc.

Java Angular

Chicago, IL · On-site

$54 - $69.75/hr

... 2 Mid level role: 5+ years Please include Linkedin, github, hacker rank links etc if they have ... GoLang and Python nice to have - should have one or the other ideally, will give them a leg up

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How much do mid level python developer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for mid level python developer in Naperville, IL is $58.57, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $66.54 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Python Developer jobs in Naperville, IL? The most popular types of Python Developer jobs in Naperville, IL are:
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Mid Level Python Developer jobs near you

Quality Enablement AI Engineer

Geethanjali College of Engineering and Technology

Chicago, IL • On-site

$74K - $95K/yr

Full-time

Posted yesterday

Job description

Quality Enablement AI Engineer
Position Type: Contract Location: Onshore (US-based) -
Preferably Hybrid in Chicago, IL
Experience Level: 7 - 10 Years (Mid Level)
Overview
We are seeking a skilled and hands-on AI Applications Developer to join our team as an onshore contractor.
In this role, you will focus on developing cutting-edge AI-based platforms, agents, and applications.
The ideal candidate will have a strong foundation in full-lifecycle software engineering, proven application development and deployment experience, and deep familiarity with AI-native development workflows.
We are specifically looking for a mid-level professional (7-10 years of experience) who is comfortable driving the technical execution of AI integrations from end to end using the MERN stack and other modern technologies.
A candidate with a Quality Engineering (QE) background is highly preferred to ensure robustness and reliability in our AI deployments.
Key Responsibilities Application Development & Deployment:
  • Apply proven, hands-on experience in building, testing, and deploying robust applications to production environments.
  • AI Application Integration: Design, build, and deploy AI-based platforms, applications, agents, and skills.
  • Vertex AI Integration: Lead AI model development and application design leveraging Google Vertex AI. RAG & EVALs
  • Implementation: Architect and develop Retrieval-Augmented Generation (RAG) pipelines and build comprehensive EVALs frameworks to measure and ensure model performance and accuracy. API & Integration Architecture: Apply advanced knowledge to design and build scalable integration platforms, APIs, and web services.
  • Full SDLC Execution: Manage the complete software development life cycle (SDLC) from initial design and build through comprehensive testing to final production deployment.

Required Qualifications & Skills Core Tech Stack:
  • Proven expertise in the MERN stack (MongoDB, Express.js, React, Node.js).
  • Programming Languages: Solid technical knowledge of high-level programming languages including Python, TypeScript, JavaScript, and Java.
  • AI-Native Development: Proven experience utilizing AI native development tools to accelerate workflows (e.g., Cursor, GitHub Copilot, Claude Code, and MCPs). Systems
  • Architecture: Solid understanding of databases, application interfaces, and various application program development alternatives. Development Tools (5+ Years Experience): Proficient with modern IDEs (VS Code, JetBrains). Version control systems (Git, GitHub). Package management (npm/yarn, pip, maven/gradle). Containerization (Docker). Preferred Qualifications Quality Engineering (QE) Background: Strong preference will be given to candidates with previous experience in QE, demonstrating a rigorous approach to testing, validation, and system reliability within the SDLC.

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