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Gis Python Developer Remote Jobs in Illinois (NOW HIRING)

Xlysi

AI Engineer | Remote | W2 Only |

Chicago, IL · Remote

We're looking for an experienced software engineer with strong Python expertise who is passionate about AI and building scalable enterprise solutions. This role requires a strong engineering ...

Xlysi LLC

AI Engineer | Remote | W2 Only |

Chicago, IL · On-site +1

We're looking for an experienced software engineer with strong Python expertise who is passionate about AI and building scalable enterprise solutions. This role requires a strong engineering ...

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 ...

Performacentric

Full Stack Developer

Chicago, IL · On-site +1

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / Contract Company: Performacentric About ...

Wood Plc

Water Resources Engineer - FEMA

Chicago, IL · Remote

$81K - $111K/yr

Work with a team of Water Resources Engineers and GIS specialists supporting various planning and water resources, flood risk management and environmental restoration projects #LI-Remote Skills ...

Deep Systems

$126K - $166K/yr

Knowledge of Python and Bash * High personal code/development standards (peer testing, unit testing ... Partner with Lead Developer and Executive Management on various projects. * Manage individual ...

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Gis Python Developer Remote information

What is a GIS Python Developer (Remote)?

A GIS Python Developer (Remote) is a software developer who specializes in using the Python programming language to work with Geographic Information Systems (GIS) while working from a remote location. Their primary responsibilities include creating, maintaining, and optimizing geospatial data processing applications, automating GIS workflows, and integrating spatial data with various software platforms. They often use libraries like ArcPy, GeoPandas, and GDAL, and collaborate with teams on mapping, analysis, and visualization projects. Remote GIS Python Developers need strong programming and GIS skills, as well as the ability to communicate and manage projects virtually.

What are the key skills and qualifications needed to thrive as a GIS Python Developer (Remote), and why are they important?

To thrive as a GIS Python Developer working remotely, you need strong proficiency in GIS concepts, spatial data analysis, Python programming, and a relevant degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, GDAL/OGR, and libraries like GeoPandas and Shapely, along with experience using version control systems like Git, is typically required. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating with distributed teams and managing projects independently. These skills and qualities are vital for delivering accurate geospatial solutions, ensuring effective teamwork, and adapting to a remote work environment.

What is the difference between Gis Python Developer Remote vs GIS Analyst?

AspectGis Python Developer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related field; Python programming skillsBachelor's in Geography, GIS, or related field; GIS software proficiency
Work EnvironmentRemote, often collaborative with development teamsOn-site or remote, focused on data analysis and mapping
Industry UsageTech, environmental, urban planning companiesGovernment agencies, consulting firms, environmental organizations
Common Search/ComparisonYesNo

Gis Python Developers remote focus on coding, software development, and automation using Python, often working on GIS applications. In contrast, GIS Analysts primarily analyze spatial data and create maps. While both roles require GIS knowledge, the developer role emphasizes programming skills and software creation, whereas the analyst role centers on data interpretation and reporting.

What are some common challenges faced by remote GIS Python Developers, and how can they be effectively addressed?

Remote GIS Python Developers often encounter challenges such as collaborating across time zones, accessing large spatial datasets, and integrating with diverse geospatial systems. Effective communication with team members using collaboration tools, establishing clear version control practices, and leveraging cloud-based geospatial platforms can help address these hurdles. Additionally, regularly participating in virtual meetings and code reviews fosters alignment and knowledge sharing among distributed teams.
What are popular job titles related to Gis Python Developer Remote jobs in Illinois? For Gis Python Developer Remote jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Gis Python Developer Remote jobs in Illinois look for? The top searched job categories for Gis Python Developer Remote jobs in Illinois are:
What cities in Illinois are hiring for Gis Python Developer Remote jobs? Cities in Illinois with the most Gis Python Developer Remote job openings:
Gis Python Developer Remote jobs near you

GCP Gemini AI Developer

CoSourcing Partners - Enterprise-AI and IT Services Company

Chicago, IL • On-site, Remote

Other

Posted 8 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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