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Remote Flask Developer Jobs in Illinois (NOW HIRING)

CoSourcing Partners

GCP Gemini AI Developer

Chicago, IL · On-site +1

Remote / Hybrid - Chicago preferred Employment Type: Contract / Full-Time Reports To: GCP Technical ... FastAPI / Flask / Node.js * LangChain / LlamaIndex for orchestration * SQL, Pandas, and Jupyter for ...

Miller Cooper

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Fully remote role that has a large business impact. How You'll Contribute * Design, develop, test ... Contribute to CI/CD pipelines and DevOps processes to ensure efficient deployments and reliable ...

Morningstar

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

Architecting, optimizing and developing Python-based applications and APIs (FastAPI, Flask, RESTful ... Remote work requests will be considered consistent with company's remote work policy. Job ...

OneStream

AI Engineer

Chicago, IL · Remote

Experience with webservices and API frameworks (Flask, FastAPI, etc.). * Knowledge of distributed ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

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Remote Flask Developer information

What is a Remote Flask Developer job?

A Remote Flask Developer is a software developer who works remotely to build and maintain web applications using the Flask framework in Python. Responsibilities typically include designing APIs, integrating databases, troubleshooting issues, and optimizing performance. They collaborate with teams using remote communication tools and may work as freelancers or full-time employees for companies worldwide.

What are some typical challenges faced by Remote Flask Developers?

Remote Flask Developers often face challenges such as coordinating effectively with team members across different time zones and ensuring clear communication in a fully virtual environment. Managing project deadlines and maintaining code quality without in-person oversight can also be demanding. To overcome these challenges, it helps to establish consistent workflows, participate in regular virtual stand-ups, and use collaborative tools like Slack, Jira, or GitHub. Successfully navigating these hurdles leads to smoother project delivery and greater overall job satisfaction.

What are the key skills and qualifications needed to thrive in the Remote Flask Developer position, and why are they important?

To thrive as a Remote Flask Developer, you need strong Python programming skills, expertise in Flask web framework, RESTful API design, and a solid understanding of databases. Familiarity with version control systems like Git, cloud platforms (such as AWS or Azure), and experience using Docker are often expected, while certifications in Python or cloud technologies are advantageous. Excellent communication, self-motivation, and time management are key soft skills for succeeding in a remote environment. These abilities are essential to building robust applications, efficiently collaborating with distributed teams, and meeting project goals from a remote setting.

What are popular job titles related to Remote Flask Developer jobs in Illinois? For Remote Flask Developer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Flask Developer jobs in Illinois look for? The top searched job categories for Remote Flask Developer jobs in Illinois are:
What cities in Illinois are hiring for Remote Flask Developer jobs? Cities in Illinois with the most Remote Flask Developer job openings:
Remote Flask Developer jobs near you
Infographic showing various Remote Flask Developer job openings in Illinois as of June 2026, with employment types broken down into 3% As Needed, 44% Full Time, 11% Part Time, 37% Contract, and 5% Nights. Highlights an 37% Physical, 4% Hybrid, and 59% Remote job distribution.
GCP Gemini AI Developer

GCP Gemini AI Developer

CoSourcing Partners

Chicago, IL • On-site, Remote

Other

Posted 23 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)OutcomeWhat Success Looks LikeMeasurement1. Gemini-Powered Solutions DeployedDesign, 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 ArchitectureBuild 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 WorkflowsImplement 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 EnablementPartner 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 OptimizationMonitor, 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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