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Internship Python Flask Developer Jobs in Bensenville, IL

Morningstar

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

Architecting, optimizing and developing Python-based applications and APIs (FastAPI, Flask, RESTful services), including asynchronous programming and event-based architectures using cloud-native ...

Morningstar, Inc.

Senior Software Engineer

Chicago, IL · On-site

$153K/yr

Architecting, optimizing and developing Python-based applications and APIs (FastAPI, Flask, RESTful services), including asynchronous programming and event-based architectures using cloud-native ...

Walker Consultants

Data Platform Engineer

Chicago, IL · On-site

$85K - $120K/yr

... role (internships/co-ops count). * Experience developing or supporting Power BI reports and ... Experience with Node.js and/or Python for backend services or data processing. * Familiarity with ...

Walker Consultants

Data Platform Engineer

Chicago, IL · Hybrid

$85K - $120K/yr

... role (internships/co-ops count). * Experience developing or supporting Power BI reports and ... Experience with Node.js and/or Python for backend services or data processing. * Familiarity with ...

Walker Consultants

Data Platform Engineer

Chicago, IL · Hybrid

$85K - $120K/yr

... role (internships/co-ops count). * Experience developing or supporting Power BI reports and ... Experience with Node.js and/or Python for backend services or data processing. * Familiarity with ...

Excel Sports Management

Data Engineer

Chicago, IL

$100K - $115K/yr

Develop Python-based data workflows and orchestration tasks following established team patterns ... Experience building APIs or services to expose data (FastAPI, Flask, or similar). * Experience with ...

Zoro

Software Engineer II, Search

Chicago, IL · On-site

$100K - $137K/yr

We are looking for a backend focused Software Engineer to join our Infrastructure and API pod ... Familiarity with foundational frameworks such as Flask or FastAPI * Proficiency with Python

Miller Cooper

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Contribute to CI/CD pipelines and DevOps processes to ensure efficient deployments and reliable ... Python (Django, FastAPI, Flask), microservices development, RESTful API design, Kubernetes, and ...

Miller Cooper

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Contribute to CI/CD pipelines and DevOps processes to ensure efficient deployments and reliable ... Python (Django, FastAPI, Flask), microservices development, RESTful API design, Kubernetes, and ...

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All JobsPython Flask Developer JobsInternship Python Flask Developer JobsInternship Python Flask Developer Jobs in Bensenville, IL

Internship Python Flask Developer information

See Bensenville, IL salary details

$12

$57

$84

How much do internship python flask developer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for internship python flask developer in Bensenville, IL is $57.13, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $64.90 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship Python Flask developer?

To thrive as an Internship Python Flask Developer, you need a solid understanding of Python programming, basic web development concepts, and a familiarity with the Flask framework, often supported by coursework or personal projects. Experience with version control systems like Git, SQL databases, and basic knowledge of REST APIs are commonly expected technical skills. Problem-solving abilities, eagerness to learn, and effective communication make candidates stand out in collaborative team environments. These skills ensure you can contribute to real-world projects, quickly adapt to new challenges, and work efficiently within a development team.

What is the difference between Internship Python Flask Developer vs Python Developer?

AspectInternship Python Flask DeveloperPython Developer
Required CredentialsBasic programming knowledge, coursework, or bootcamp experienceBachelor's degree in Computer Science or related field, experience preferred
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time or part-time professional role, complex project involvement
Employer & Industry UsageStartups, tech companies, internships for skill developmentTech firms, software companies, various industries requiring Python expertise
Search & Comparison IntentLearning, entry-level opportunities, internshipsCareer advancement, full-time roles, skill application

The main difference between an Internship Python Flask Developer and a Python Developer lies in experience level, responsibilities, and employment status. Internships focus on learning and skill development in a supportive environment, while Python Developers are full-time professionals handling complex projects. Internships serve as stepping stones toward becoming a full-fledged Python Developer.

What kind of projects and tasks can I expect to work on as an internship Python Flask developer?

As an Internship Python Flask Developer, you'll typically contribute to building and maintaining web applications using the Flask framework. You may be involved in tasks such as developing APIs, writing backend logic, integrating databases, and debugging code. Interns often collaborate closely with senior developers, participate in code reviews, and may assist with documentation or testing. This hands-on experience helps you understand real-world agile workflows and prepares you for more advanced development roles.

What does an internship Python Flask developer do?

An Internship Python Flask Developer assists in designing, developing, and maintaining web applications using the Flask framework and Python programming language. Interns typically work under the guidance of senior developers to write code, troubleshoot issues, and help implement new features. They may also learn about best practices in web development, version control, and deployment processes. The role is ideal for gaining hands-on experience in backend web development while working in a collaborative environment.
What job categories do people searching Internship Python Flask Developer jobs in Bensenville, IL look for? The top searched job categories for Internship Python Flask Developer jobs in Bensenville, IL are:
What cities near Bensenville, IL are hiring for Internship Python Flask Developer jobs? Cities near Bensenville, IL with the most Internship Python Flask Developer job openings:
Internship Python Flask Developer jobs near you
Infographic showing various Internship Python Flask Developer job openings in Bensenville, IL as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $118,829 per year, or $57.1 per hour.

GCP Gemini AI Developer

Co-Sourcing Partners

Chicago, IL • On-site

Full-time

Re-posted 5 days ago

Job description

Job Title: GCP Gemini AI Developer (3-5 Years Experience)
Location: Remote / Hybrid - Chicago preferred
Employment Type: Contract / Full-Time
Reports To: GCP Technical Lead / AI Program Manager
Purpose
The GCP Gemini AI Developer will design, build, and deploy intelligent applications leveraging Google Cloud's Gemini models and Vertex AI platform. This role exists to operationalize advanced GenAI capabilities - including natural language understanding, multimodal reasoning, and generative automation - within scalable, secure, and production-ready cloud environments.
The developer will work hands-on across data engineering, AI model orchestration, and API integration to create AI-driven business solutions that reduce manual effort, enhance decision-making, and unlock measurable value from enterprise data.
Key Performance Outcomes (6-12 Months) Outcome What Success Looks Like Measurement 1. Gemini-Powered Solutions Deployed Design, develop, and deploy at least two Gemini-based AI solutions (e.g., document summarization, chat agent, or data extraction automation) using Vertex AI + Gemini APIs. Delivered to production with >90% accuracy and <2s response time. 2. Scalable Cloud Architecture Build a modular AI microservices framework using Cloud Run / Cloud Functions with integrated authentication, logging, and monitoring. Reusable components adopted in at least 3 future use cases. 3. RAG / Context-Aware Workflows Implement Retrieval-Augmented Generation (RAG) pipelines combining Gemini + BigQuery or vector databases for knowledge grounding. Demonstrated 25% reduction in hallucination or response variance. 4. Cross-Team Enablement Partner with Data, Automation, and AppDev teams to integrate Gemini AI into existing business workflows (e.g., UiPath, Power Platform, or ServiceNow). Minimum of 2 successful integrations with documented ROI. 5. Continuous Optimization Monitor, retrain, and improve AI models via Vertex AI pipelines and Model Monitoring. Demonstrated 15% performance gain over baseline models. Core Responsibilities
  • Design and deploy Gemini 1.5 Pro/Flash integrations via Vertex AI and Generative AI Studio.
  • Build serverless APIs and backend services for AI workflows using Cloud Run, Functions, or App Engine.
  • Develop data ingestion and preprocessing pipelines using BigQuery, Dataform, and Pub/Sub.
  • Apply prompt engineering and parameter tuning to improve generative model accuracy.
  • Implement RAG pipelines leveraging Vertex Matching Engine or Pinecone.
  • Collaborate with automation and data teams to embed AI into existing business processes.
  • Maintain compliance with security, privacy, and model governance standards.

Technical Environment
Core Google Cloud Services
  • Vertex AI, Generative AI Studio, Gemini API
  • BigQuery, BigQuery ML, Dataform
  • Cloud Run, Cloud Functions, Cloud Storage
  • Pub/Sub, Secret Manager, IAM, Cloud Build

Programming Stack
  • Python or TypeScript (Google Cloud SDKs, google-generativeai, aiplatform)
  • FastAPI / Flask / Node.js
  • LangChain / LlamaIndex for orchestration
  • SQL, Pandas, and Jupyter for data prep

Complementary Tools
  • Terraform (IaC)
  • GitHub / GitLab CI/CD
  • Vertex AI Pipelines & Model Registry
  • Vector DB (Vertex Matching Engine, Pinecone, or Weaviate)

Ideal Profile
  • 3-5 years hands-on GCP development experience with AI/ML exposure
  • Strong working knowledge of Vertex AI, Gemini models, and RAG pipeline design
  • Demonstrated ability to move AI prototypes into production
  • Strong communicator, able to collaborate across automation, data, and cloud teams
  • Curious problem-solver passionate about applied AI innovation

Success Metrics
  • Speed to Delivery: End-to-end deployment within 8-10 weeks per use case
  • Model Effectiveness: >90% accuracy or relevance rating from business stakeholders
  • Scalability: Framework reused for ≥3 additional AI initiatives
  • Business Impact: 25%+ improvement in productivity or efficiency from deployed use cases

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