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Urgently Hiring Remote Python Django Developer Jobs in Chicago, IL

Tier4 Group

Lead DevOps Engineer

Chicago, IL · Remote

$54.25 - $74.50/hr

... remote days throughout the year. What You'll Do The Lead DevOps Engineer will partner with ... Python, C++ required; C# preferred) DevSecOps tools (Checkmarx, SonarQube, etc.) Application ...

Uber

Data Analyst, Measurement Science, Ads

Chicago, IL · On-site +1

... Engineering, or a related field**Preferred Qualifications:**- Understanding of digital advertising or media analytics- Experience with Python web development framework such as Flask or Django ...

SDI International

Senior DevOps Engineer

Chicago, IL · On-site +1

$134K - $172K/yr

We are hiring Senior DevOps / Platform Engineers to build and operate the core automation ... Open to remote work in the US. The preferred work location is Chicago, IL. What You Might Work On ...

Finoit Inc.

Lead DevOps Engineer - Azure Platforms

Chicago, IL · Remote

$54.50 - $74.50/hr

Remote/Hybrid Experience: 7+ Years Job Summary Seeking a Lead DevOps Engineer to design, build, and ... Python or other modern backend languages * Cloud Security and Identity Management Qualifications

Clarity Partners LLC

GIS Developer

Chicago, IL · On-site +1

$85K - $105K/yr

... hiring! Clarity Partners is seeking a GIS Developer local to Chicago, IL. This role will be ... Automate data management workflows using Python, HTML, JavaScript, or related tools. * Design ...

MBR Partners

Senior Software Engineer

Chicago, IL · Remote

$150K/yr

We are currently hiring for our clients scale up of a software business. With a back-end team in ... Their backend is developed in Python running in the cloud over k8s. It's not a typical backend ...

Jorie AI

Software Engineer

Oak Brook, IL · Remote

Python is an important tool for DevOps, streamlining deployments and optimizing infrastructure for ... Remote in USA Only. We cannot consider candidates from New York, California, or Washington state ...

Jorie AI

Software Engineer

Oak Brook, IL · Remote

Python is an important tool for DevOps, streamlining deployments and optimizing infrastructure for ... Remote in USA Only. We cannot consider candidates from New York, California, or Washington state ...

Honor

Staff Platform Engineer - Infra + DevOps

Chicago, IL · Remote

$194K - $220K/yr

Design and implement foundational patterns and libraries for Python applications, across a range of ... the hiring range for this position. We use national average to determine pay as we are a remote ...

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Urgently Hiring Remote Python Django Developer information

See Chicago, IL salary details

$23.7K

$118.6K

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How much do urgently hiring remote python django developer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for urgently hiring remote python django developer in Chicago, IL is $118,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $163,800.00 per year, depending on experience, location, and employer.
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GCP Gemini AI Developer

CoSourcing Partners - Enterprise-AI and IT Services Company

Chicago, IL • On-site, Remote

Other

Posted 6 days ago

Job description

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

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)
  • 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.
  • 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.
  • 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.
  • 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.
  • 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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